Masakuna, Jordan Felicien; Kafunda, Pierre Katalay Do prior information on performance of individual classifiers for fusion of probabilistic classifier outputs matter? (English) Zbl 07798009 J. Classif. 40, No. 3, 468-487 (2023). MSC: 62H30 PDFBibTeX XMLCite \textit{J. F. Masakuna} and \textit{P. K. Kafunda}, J. Classif. 40, No. 3, 468--487 (2023; Zbl 07798009) Full Text: DOI
Daly-Grafstein, Daniel; Gustafson, Paul Combining parametric and nonparametric models to estimate treatment effects in observational studies. (English) Zbl 1522.62116 Biometrics 79, No. 3, 1986-1995 (2023). MSC: 62P10 PDFBibTeX XMLCite \textit{D. Daly-Grafstein} and \textit{P. Gustafson}, Biometrics 79, No. 3, 1986--1995 (2023; Zbl 1522.62116) Full Text: DOI arXiv
Chakraborty, Tanujit; Kamat, Gauri; Chakraborty, Ashis Kumar Bayesian neural tree models for nonparametric regression. (English) Zbl 1521.62048 Aust. N. Z. J. Stat. 65, No. 2, 101-126 (2023). MSC: 62G08 62H30 62F15 62G20 PDFBibTeX XMLCite \textit{T. Chakraborty} et al., Aust. N. Z. J. Stat. 65, No. 2, 101--126 (2023; Zbl 1521.62048) Full Text: DOI arXiv
Rios Insua, David; Naveiro, Roi; Gallego, Víctor; Poulos, Jason Adversarial machine learning: Bayesian perspectives. (English) Zbl 07751838 J. Am. Stat. Assoc. 118, No. 543, 2195-2206 (2023). MSC: 62-XX PDFBibTeX XMLCite \textit{D. Rios Insua} et al., J. Am. Stat. Assoc. 118, No. 543, 2195--2206 (2023; Zbl 07751838) Full Text: DOI
Kamatani, Kengo; Song, Xiaolin Non-reversible guided Metropolis kernel. (English) Zbl 1520.65004 J. Appl. Probab. 60, No. 3, 955-981 (2023). MSC: 65C05 65C40 60J05 PDFBibTeX XMLCite \textit{K. Kamatani} and \textit{X. Song}, J. Appl. Probab. 60, No. 3, 955--981 (2023; Zbl 1520.65004) Full Text: DOI arXiv
Redivo, Edoardo; Viroli, Cinzia; Farcomeni, Alessio Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers. (English) Zbl 1516.62027 Stat. Comput. 33, No. 2, Paper No. 55, 15 p. (2023). MSC: 62-08 62F15 62H30 PDFBibTeX XMLCite \textit{E. Redivo} et al., Stat. Comput. 33, No. 2, Paper No. 55, 15 p. (2023; Zbl 1516.62027) Full Text: DOI
Li, Ruilin; Wang, Xin; Zha, Hongyuan; Tao, Molei Improving sampling accuracy of stochastic gradient MCMC methods via non-uniform subsampling of gradients. (English) Zbl 1514.65008 Discrete Contin. Dyn. Syst., Ser. S 16, No. 2, 329-360 (2023). MSC: 65C05 65C40 60J20 62D05 37A50 37A60 90C15 PDFBibTeX XMLCite \textit{R. Li} et al., Discrete Contin. Dyn. Syst., Ser. S 16, No. 2, 329--360 (2023; Zbl 1514.65008) Full Text: DOI arXiv
Ersel, Derya; Atılgan, Yasemin Kayhan An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method. (English) Zbl 07630085 J. Appl. Stat. 49, No. 16, 4069-4096 (2022). MSC: 62-XX PDFBibTeX XMLCite \textit{D. Ersel} and \textit{Y. K. Atılgan}, J. Appl. Stat. 49, No. 16, 4069--4096 (2022; Zbl 07630085) Full Text: DOI
Kock, Lucas; Klein, Nadja; Nott, David J. Variational inference and sparsity in high-dimensional deep Gaussian mixture models. (English) Zbl 1496.62014 Stat. Comput. 32, No. 5, Paper No. 70, 18 p. (2022). MSC: 62-08 62F15 62H30 PDFBibTeX XMLCite \textit{L. Kock} et al., Stat. Comput. 32, No. 5, Paper No. 70, 18 p. (2022; Zbl 1496.62014) Full Text: DOI arXiv
Shimamura, Kaito; Kawano, Shuichi Bayesian sparse convex clustering via global-local shrinkage priors. (English) Zbl 1505.62375 Comput. Stat. 36, No. 4, 2671-2699 (2021). MSC: 62-08 62F15 62J07 62H30 PDFBibTeX XMLCite \textit{K. Shimamura} and \textit{S. Kawano}, Comput. Stat. 36, No. 4, 2671--2699 (2021; Zbl 1505.62375) Full Text: DOI arXiv
Lu, Xiang; Li, Yaoxiang; Love, Tanzy On Bayesian analysis of parsimonious Gaussian mixture models. (English) Zbl 07473951 J. Classif. 38, No. 3, 576-593 (2021). MSC: 62H30 PDFBibTeX XMLCite \textit{X. Lu} et al., J. Classif. 38, No. 3, 576--593 (2021; Zbl 07473951) Full Text: DOI
Chen, Jian; Du, Lan; Guo, Yuchen Label constrained convolutional factor analysis for classification with limited training samples. (English) Zbl 1475.62180 Inf. Sci. 544, 372-394 (2021). MSC: 62H30 62H25 PDFBibTeX XMLCite \textit{J. Chen} et al., Inf. Sci. 544, 372--394 (2021; Zbl 1475.62180) Full Text: DOI
Kim, Byunghoon; Jeong, Young-Seon; Jeong, Myong K. New multivariate kernel density estimator for uncertain data classification. (English) Zbl 1477.62136 Ann. Oper. Res. 303, No. 1-2, 413-431 (2021). MSC: 62H12 62H30 62G07 PDFBibTeX XMLCite \textit{B. Kim} et al., Ann. Oper. Res. 303, No. 1--2, 413--431 (2021; Zbl 1477.62136) Full Text: DOI
Gunnarsson, Björn Rafn; vanden Broucke, Seppe; Baesens, Bart; Óskarsdóttir, María; Lemahieu, Wilfried Deep learning for credit scoring: do or don’t? (English) Zbl 1487.91147 Eur. J. Oper. Res. 295, No. 1, 292-305 (2021). MSC: 91G40 68T07 62H30 62P05 PDFBibTeX XMLCite \textit{B. R. Gunnarsson} et al., Eur. J. Oper. Res. 295, No. 1, 292--305 (2021; Zbl 1487.91147) Full Text: DOI
Grosnit, Antoine; Cowen-Rivers, Alexander I.; Tutunov, Rasul; Griffiths, Ryan-Rhys; Wang, Jun; Bou-Ammar, Haitham Are we forgetting about compositional optimisers in Bayesian optimisation? (English) Zbl 07415103 J. Mach. Learn. Res. 22, Paper No. 160, 78 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{A. Grosnit} et al., J. Mach. Learn. Res. 22, Paper No. 160, 78 p. (2021; Zbl 07415103) Full Text: arXiv Link
Kadam, Vinod Jagannath; Jadhav, Shivajirao Manikrao Performance analysis of hyperparameter optimization methods for ensemble learning with small and medium sized medical datasets. (English) Zbl 1482.62112 J. Discrete Math. Sci. Cryptography 23, No. 1, 115-123 (2020). MSC: 62P10 62H30 PDFBibTeX XMLCite \textit{V. J. Kadam} and \textit{S. M. Jadhav}, J. Discrete Math. Sci. Cryptography 23, No. 1, 115--123 (2020; Zbl 1482.62112) Full Text: DOI
Huang, Hsin-Hsiung; Yang, Jie Affine-transformation invariant clustering models. (English) Zbl 1472.62096 J. Stat. Distrib. Appl. 7, Paper No. 10, 24 p. (2020). MSC: 62H30 62F15 62P10 65C05 PDFBibTeX XMLCite \textit{H.-H. Huang} and \textit{J. Yang}, J. Stat. Distrib. Appl. 7, Paper No. 10, 24 p. (2020; Zbl 1472.62096) Full Text: DOI
Redivo, Edoardo; Nguyen, Hien D.; Gupta, Mayetri Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions. (English) Zbl 1510.62282 Comput. Stat. Data Anal. 152, Article ID 107040, 22 p. (2020). MSC: 62H30 62F15 62-08 62P10 PDFBibTeX XMLCite \textit{E. Redivo} et al., Comput. Stat. Data Anal. 152, Article ID 107040, 22 p. (2020; Zbl 1510.62282) Full Text: DOI Link
Tenzer, Yaniv; Moscovich, Amit; Dorn, Mary Frances; Nadler, Boaz; Spiegelman, Clifford Beyond trees: classification with sparse pairwise dependencies. (English) Zbl 1527.68195 J. Mach. Learn. Res. 21, Paper No. 189, 33 p. (2020). MSC: 68T05 62H22 62H30 PDFBibTeX XMLCite \textit{Y. Tenzer} et al., J. Mach. Learn. Res. 21, Paper No. 189, 33 p. (2020; Zbl 1527.68195) Full Text: arXiv Link
Zhuang, Haoxin; Diao, Liqun; Yi, Grace Y. A Bayesian hierarchical copula model. (English) Zbl 1460.62078 Electron. J. Stat. 14, No. 2, 4457-4488 (2020). Reviewer: Jonas Šiaulys (Vilnius) MSC: 62H05 62H20 62P10 65C05 68T05 PDFBibTeX XMLCite \textit{H. Zhuang} et al., Electron. J. Stat. 14, No. 2, 4457--4488 (2020; Zbl 1460.62078) Full Text: DOI Euclid
Bauvin, Baptiste; Capponi, Cécile; Roy, Jean-Francis; Laviolette, François Fast greedy \(\mathcal{C} \)-bound minimization with guarantees. (English) Zbl 1525.68110 Mach. Learn. 109, No. 9-10, 1945-1986 (2020). MSC: 68T05 62F15 62H30 90C90 PDFBibTeX XMLCite \textit{B. Bauvin} et al., Mach. Learn. 109, No. 9--10, 1945--1986 (2020; Zbl 1525.68110) Full Text: DOI
Wang, Jieting; Qian, Yuhua; Li, Feijiang Learning with mitigating random consistency from the accuracy measure. (English) Zbl 1523.68071 Mach. Learn. 109, No. 12, 2247-2281 (2020). MSC: 68T05 62C10 62H30 PDFBibTeX XMLCite \textit{J. Wang} et al., Mach. Learn. 109, No. 12, 2247--2281 (2020; Zbl 1523.68071) Full Text: DOI
Halbersberg, Dan; Wienreb, Maydan; Lerner, Boaz Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier. (English) Zbl 1496.68274 Mach. Learn. 109, No. 5, 1039-1099 (2020). MSC: 68T05 62H22 62H30 PDFBibTeX XMLCite \textit{D. Halbersberg} et al., Mach. Learn. 109, No. 5, 1039--1099 (2020; Zbl 1496.68274) Full Text: DOI
Hofmeyr, David P. Degrees of freedom and model selection for \(k\)-means clustering. (English) Zbl 1510.62277 Comput. Stat. Data Anal. 149, Article ID 106974, 13 p. (2020). MSC: 62H30 62-08 PDFBibTeX XMLCite \textit{D. P. Hofmeyr}, Comput. Stat. Data Anal. 149, Article ID 106974, 13 p. (2020; Zbl 1510.62277) Full Text: DOI arXiv
Wu, Ho-Hsiang; Ferreira, Marco A. R.; Elkhouly, Mohamed; Ji, Tieming Hyper nonlocal priors for variable selection in generalized linear models. (English) Zbl 1439.62091 Sankhyā, Ser. A 82, No. 1, 147-185 (2020). Reviewer: Oscar Bustos (Córdoba) MSC: 62F15 62F07 62J12 62P10 PDFBibTeX XMLCite \textit{H.-H. Wu} et al., Sankhyā, Ser. A 82, No. 1, 147--185 (2020; Zbl 1439.62091) Full Text: DOI
Nguyen, Thi Thu Thuy; Nguyen, Tien Thanh; Sharma, Rabi; Liew, Alan Wee-Chung A lossless online Bayesian classifier. (English) Zbl 1448.62100 Inf. Sci. 489, 1-17 (2019). MSC: 62H30 68T05 68W27 PDFBibTeX XMLCite \textit{T. T. T. Nguyen} et al., Inf. Sci. 489, 1--17 (2019; Zbl 1448.62100) Full Text: DOI Link
Naveiro, Roi; Redondo, Alberto; Insua, David Ríos; Ruggeri, Fabrizio Adversarial classification: an adversarial risk analysis approach. (English) Zbl 1468.68046 Int. J. Approx. Reasoning 113, 133-148 (2019). MSC: 68M25 62H30 68T05 PDFBibTeX XMLCite \textit{R. Naveiro} et al., Int. J. Approx. Reasoning 113, 133--148 (2019; Zbl 1468.68046) Full Text: DOI arXiv
Bonilla, Edwin V.; Krauth, Karl; Dezfouli, Amir Generic inference in latent Gaussian process models. (English) Zbl 1440.62238 J. Mach. Learn. Res. 20, Paper No. 117, 63 p. (2019). MSC: 62H30 62J05 62F15 60G15 62P30 PDFBibTeX XMLCite \textit{E. V. Bonilla} et al., J. Mach. Learn. Res. 20, Paper No. 117, 63 p. (2019; Zbl 1440.62238) Full Text: arXiv Link
Scutari, Marco; Vitolo, Claudia; Tucker, Allan Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation. (English) Zbl 1430.62275 Stat. Comput. 29, No. 5, 1095-1108 (2019). MSC: 62R07 68T05 62-08 62P10 62P12 PDFBibTeX XMLCite \textit{M. Scutari} et al., Stat. Comput. 29, No. 5, 1095--1108 (2019; Zbl 1430.62275) Full Text: DOI arXiv
Masuyama, Naoki; Loo, Chu Kiong; Dawood, Farhan Kernel Bayesian ART and ARTMAP. (English) Zbl 1434.68434 Neural Netw. 98, 76-86 (2018). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{N. Masuyama} et al., Neural Netw. 98, 76--86 (2018; Zbl 1434.68434) Full Text: DOI
Senthilnath, J.; Simha C., Sumanth; G., Nagaraj; Thapa, Meenakumari; Indiramma, M. BELMKN: Bayesian extreme learning machines Kohonen network. (English) Zbl 1461.62109 Algorithms (Basel) 11, No. 5, Paper No. 56, 14 p. (2018). MSC: 62H30 68T05 PDFBibTeX XMLCite \textit{J. Senthilnath} et al., Algorithms (Basel) 11, No. 5, Paper No. 56, 14 p. (2018; Zbl 1461.62109) Full Text: DOI
Petitjean, François; Buntine, Wray; Webb, Geoffrey I.; Zaidi, Nayyar Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. (English) Zbl 1473.68189 Mach. Learn. 107, No. 8-10, 1303-1331 (2018). MSC: 68T20 62F10 62F15 62G05 62H22 62H30 PDFBibTeX XMLCite \textit{F. Petitjean} et al., Mach. Learn. 107, No. 8--10, 1303--1331 (2018; Zbl 1473.68189) Full Text: DOI arXiv
Bakhteev, O. Yu.; Strizhov, V. V. Deep learning model selection of suboptimal complexity. (English. Russian original) Zbl 1444.62040 Autom. Remote Control 79, No. 8, 1474-1488 (2018); translation from Avtom. Telemekh. 2018, No. 8, 129-147 (2018). MSC: 62G05 62H30 62J02 PDFBibTeX XMLCite \textit{O. Yu. Bakhteev} and \textit{V. V. Strizhov}, Autom. Remote Control 79, No. 8, 1474--1488 (2018; Zbl 1444.62040); translation from Avtom. Telemekh. 2018, No. 8, 129--147 (2018) Full Text: DOI
Papastamoulis, Panagiotis Overfitting Bayesian mixtures of factor analyzers with an unknown number of components. (English) Zbl 1469.62125 Comput. Stat. Data Anal. 124, 220-234 (2018). MSC: 62-08 62F15 62H25 62H30 PDFBibTeX XMLCite \textit{P. Papastamoulis}, Comput. Stat. Data Anal. 124, 220--234 (2018; Zbl 1469.62125) Full Text: DOI arXiv
de Campos, Cassio P.; Scanagatta, Mauro; Corani, Giorgio; Zaffalon, Marco Entropy-based pruning for learning Bayesian networks using BIC. (English) Zbl 1445.68189 Artif. Intell. 260, 42-50 (2018). MSC: 68T05 62H12 PDFBibTeX XMLCite \textit{C. P. de Campos} et al., Artif. Intell. 260, 42--50 (2018; Zbl 1445.68189) Full Text: DOI arXiv
Fasiolo, Matteo; de Melo, Flávio Eler; Maskell, Simon Langevin incremental mixture importance sampling. (English) Zbl 1384.65012 Stat. Comput. 28, No. 3, 549-561 (2018). MSC: 65C40 60J22 62F15 PDFBibTeX XMLCite \textit{M. Fasiolo} et al., Stat. Comput. 28, No. 3, 549--561 (2018; Zbl 1384.65012) Full Text: DOI arXiv
Cortijo, Santiago; Gonzales, Christophe On conditional truncated densities Bayesian networks. (English) Zbl 1423.68379 Int. J. Approx. Reasoning 92, 155-174 (2018). MSC: 68T05 68Q25 68T37 PDFBibTeX XMLCite \textit{S. Cortijo} and \textit{C. Gonzales}, Int. J. Approx. Reasoning 92, 155--174 (2018; Zbl 1423.68379) Full Text: DOI HAL
Wang, Tong; Rudin, Cynthia; Doshi-Velez, Finale; Liu, Yimin; Klampfl, Erica; Macneille, Perry A Bayesian framework for learning rule sets for interpretable classification. (English) Zbl 1434.68467 J. Mach. Learn. Res. 18(2017-2018), Paper No. 70, 37 p. (2017). MSC: 68T05 62F15 62H30 PDFBibTeX XMLCite \textit{T. Wang} et al., J. Mach. Learn. Res. 18, Paper No. 70, 37 p. (2017; Zbl 1434.68467) Full Text: Link
Zaidi, Nayyar A.; Webb, Geoffrey I.; Carman, Mark J.; Petitjean, François; Buntine, Wray; Hynes, Mike; De Sterck, Hans Efficient parameter learning of Bayesian network classifiers. (English) Zbl 1454.62183 Mach. Learn. 106, No. 9-10, 1289-1329 (2017). MSC: 62H22 68T05 62H30 62H12 PDFBibTeX XMLCite \textit{N. A. Zaidi} et al., Mach. Learn. 106, No. 9--10, 1289--1329 (2017; Zbl 1454.62183) Full Text: DOI
Pensar, Johan; Nyman, Henrik; Corander, Jukka Structure learning of contextual Markov networks using marginal pseudo-likelihood. (English) Zbl 1422.62190 Scand. J. Stat. 44, No. 2, 455-479 (2017). MSC: 62H12 62M05 PDFBibTeX XMLCite \textit{J. Pensar} et al., Scand. J. Stat. 44, No. 2, 455--479 (2017; Zbl 1422.62190) Full Text: DOI arXiv
Hashem, Hussein; Vinciotti, Veronica; Alhamzawi, Rahim; Yu, Keming Quantile regression with group Lasso for classification. (English) Zbl 1414.62318 Adv. Data Anal. Classif., ADAC 10, No. 3, 375-390 (2016). MSC: 62J07 62H30 62F15 PDFBibTeX XMLCite \textit{H. Hashem} et al., Adv. Data Anal. Classif., ADAC 10, No. 3, 375--390 (2016; Zbl 1414.62318) Full Text: DOI Link
Pérez-Bernabé, Inmaculada; Fernández, Antonio; Rumí, Rafael; Salmerón, Antonio Parameter learning in hybrid Bayesian networks using prior knowledge. (English) Zbl 1411.68118 Data Min. Knowl. Discov. 30, No. 3, 576-604 (2016). MSC: 68T05 62F15 62H12 PDFBibTeX XMLCite \textit{I. Pérez-Bernabé} et al., Data Min. Knowl. Discov. 30, No. 3, 576--604 (2016; Zbl 1411.68118) Full Text: DOI
Moghaddass, Ramin; Rudin, Cynthia; Madigan, David The factorized self-controlled case series method: an approach for estimating the effects of many drugs on many outcomes. (English) Zbl 1392.62325 J. Mach. Learn. Res. 17, Paper No. 185, 24 p. (2016). MSC: 62P10 62F15 PDFBibTeX XMLCite \textit{R. Moghaddass} et al., J. Mach. Learn. Res. 17, Paper No. 185, 24 p. (2016; Zbl 1392.62325) Full Text: Link
Martínez, Ana M.; Webb, Geoffrey I.; Chen, Shenglei; Zaidi, Nayyar A. Scalable learning of Bayesian network classifiers. (English) Zbl 1360.68694 J. Mach. Learn. Res. 17, Paper No. 44, 35 p. (2016). MSC: 68T05 62F15 62H30 PDFBibTeX XMLCite \textit{A. M. Martínez} et al., J. Mach. Learn. Res. 17, Paper No. 44, 35 p. (2016; Zbl 1360.68694) Full Text: Link
Goudie, Robert J. B.; Mukherjee, Sach A Gibbs sampler for learning DAGs. (English) Zbl 1360.68677 J. Mach. Learn. Res. 17, Paper No. 30, 39 p. (2016). MSC: 68T05 05C20 60J22 62H12 62H30 PDFBibTeX XMLCite \textit{R. J. B. Goudie} and \textit{S. Mukherjee}, J. Mach. Learn. Res. 17, Paper No. 30, 39 p. (2016; Zbl 1360.68677) Full Text: Link
de Campos, Cassio P.; Corani, Giorgio; Scanagatta, Mauro; Cuccu, Marco; Zaffalon, Marco Learning extended tree augmented naive structures. (English) Zbl 1346.68169 Int. J. Approx. Reasoning 68, 153-163 (2016). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{C. P. de Campos} et al., Int. J. Approx. Reasoning 68, 153--163 (2016; Zbl 1346.68169) Full Text: DOI
Abadpour, Arash A sequential Bayesian alternative to the classical parallel fuzzy clustering model. (English) Zbl 06869656 Inf. Sci. 318, 28-47 (2015). MSC: 62H30 62H86 PDFBibTeX XMLCite \textit{A. Abadpour}, Inf. Sci. 318, 28--47 (2015; Zbl 06869656) Full Text: DOI
Sun, Lei; Toh, Kar-Ann; Lin, Zhiping A center sliding Bayesian binary classifier adopting orthogonal polynomials. (English) Zbl 1374.68477 Pattern Recognition 48, No. 6, 2013-2028 (2015). MSC: 68T10 33C45 62H30 PDFBibTeX XMLCite \textit{L. Sun} et al., Pattern Recognition 48, No. 6, 2013--2028 (2015; Zbl 1374.68477) Full Text: DOI
Letham, Benjamin; Rudin, Cynthia; McCormick, Tyler H.; Madigan, David Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model. (English) Zbl 1454.62348 Ann. Appl. Stat. 9, No. 3, 1350-1371 (2015). MSC: 62P10 62C10 62H30 PDFBibTeX XMLCite \textit{B. Letham} et al., Ann. Appl. Stat. 9, No. 3, 1350--1371 (2015; Zbl 1454.62348) Full Text: DOI arXiv Euclid
Krempl, Georg; Kottke, Daniel; Lemaire, Vincent Optimised probabilistic active learning (OPAL). For fast, non-myopic, cost sensitive active classification. (English) Zbl 1341.68160 Mach. Learn. 100, No. 2-3, 449-476 (2015). MSC: 68T05 62F15 62H30 PDFBibTeX XMLCite \textit{G. Krempl} et al., Mach. Learn. 100, No. 2--3, 449--476 (2015; Zbl 1341.68160) Full Text: DOI
Germain, Pascal; Lacasse, Alexandre; Laviolette, Francois; Marchand, Mario; Roy, Jean-Francis Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm. (English) Zbl 1337.68223 J. Mach. Learn. Res. 16, 787-860 (2015). MSC: 68T05 62F15 62H30 PDFBibTeX XMLCite \textit{P. Germain} et al., J. Mach. Learn. Res. 16, 787--860 (2015; Zbl 1337.68223) Full Text: arXiv Link
Luts, Jan; Ormerod, John T. Mean field variational Bayesian inference for support vector machine classification. (English) Zbl 1506.62120 Comput. Stat. Data Anal. 73, 163-176 (2014). MSC: 62-08 68T05 62G08 62F15 62H30 PDFBibTeX XMLCite \textit{J. Luts} and \textit{J. T. Ormerod}, Comput. Stat. Data Anal. 73, 163--176 (2014; Zbl 1506.62120) Full Text: DOI arXiv
Carvalho, Alexandra M.; Adão, Pedro; Mateus, Paulo Hybrid learning of Bayesian multinets for binary classification. (English) Zbl 1373.68315 Pattern Recognition 47, No. 10, 3438-3450 (2014). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{A. M. Carvalho} et al., Pattern Recognition 47, No. 10, 3438--3450 (2014; Zbl 1373.68315) Full Text: DOI
Flores, M. Julia; Gámez, José A.; Martínez, Ana M. Domains of competence of the semi-naive Bayesian network classifiers. (English) Zbl 1328.68162 Inf. Sci. 260, 120-148 (2014). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{M. J. Flores} et al., Inf. Sci. 260, 120--148 (2014; Zbl 1328.68162) Full Text: DOI
He, Yu-Lin; Wang, Ran; Kwong, Sam; Wang, Xi-Zhao Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. (English) Zbl 1329.62134 Inf. Sci. 259, 252-268 (2014). MSC: 62F15 62G07 62H30 PDFBibTeX XMLCite \textit{Y.-L. He} et al., Inf. Sci. 259, 252--268 (2014; Zbl 1329.62134) Full Text: DOI
Le Capitaine, Hoel A unified view of class-selection with probabilistic classifiers. (English) Zbl 1326.62139 Pattern Recognition 47, No. 2, 843-853 (2014). MSC: 62H30 62C10 68T10 PDFBibTeX XMLCite \textit{H. Le Capitaine}, Pattern Recognition 47, No. 2, 843--853 (2014; Zbl 1326.62139) Full Text: DOI
Ueda, Naonori; Tanaka, Yusuke; Fujino, Akinori Robust naive Bayes combination of multiple classifications. (English) Zbl 1326.62063 Wakayama, Masato (ed.) et al., The impact of applications on mathematics. Proceedings of the Forum of Mathematics for Industry, “Math-for-Industry 2013”, Fukuoka, Japan, November 4–8, 2013. Tokyo: Springer (ISBN 978-4-431-54906-2/hbk; 978-4-431-54907-9/ebook). Mathematics for Industry 1, 141-155 (2014). MSC: 62F15 68T10 62H30 PDFBibTeX XMLCite \textit{N. Ueda} et al., Math. Ind. (Tokyo) 1, 141--155 (2014; Zbl 1326.62063) Full Text: DOI
Bounhas, Myriam; Ghasemi Hamed, Mohammad; Prade, Henri; Serrurier, Mathieu; Mellouli, Khaled Naive possibilistic classifiers for imprecise or uncertain numerical data. (English) Zbl 1315.68234 Fuzzy Sets Syst. 239, 137-156 (2014). MSC: 68T37 62H30 62H86 PDFBibTeX XMLCite \textit{M. Bounhas} et al., Fuzzy Sets Syst. 239, 137--156 (2014; Zbl 1315.68234) Full Text: DOI
Fernández-Delgado, Manuel; Cernadas, Eva; Barro, Senén; Amorim, Dinani Do we need hundreds of classifiers to solve real world classification problems? (English) Zbl 1319.62005 J. Mach. Learn. Res. 15, 3133-3181 (2014). MSC: 62-07 62H30 68T05 PDFBibTeX XMLCite \textit{M. Fernández-Delgado} et al., J. Mach. Learn. Res. 15, 3133--3181 (2014; Zbl 1319.62005) Full Text: Link
Zeng, Zilin; Zhang, Hongjun; Zhang, Rui; Zhang, Youliang A hybrid feature selection method based on rough conditional mutual information and naive Bayesian classifier. (English) Zbl 1298.62105 ISRN Appl. Math. 2014, Article ID 382738, 11 p. (2014). MSC: 62H30 62F15 PDFBibTeX XMLCite \textit{Z. Zeng} et al., ISRN Appl. Math. 2014, Article ID 382738, 11 p. (2014; Zbl 1298.62105) Full Text: DOI
López-Cruz, Pedro L.; Bielza, Concha; Larrañaga, Pedro Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation. (English) Zbl 1390.68544 Int. J. Approx. Reasoning 55, No. 4, 989-1010 (2014). MSC: 68T05 62H12 62H30 65D05 65D07 PDFBibTeX XMLCite \textit{P. L. López-Cruz} et al., Int. J. Approx. Reasoning 55, No. 4, 989--1010 (2014; Zbl 1390.68544) Full Text: DOI
Galimberti, Giuliano; Soffritti, Gabriele Using conditional independence for parsimonious model-based Gaussian clustering. (English) Zbl 1322.62167 Stat. Comput. 23, No. 5, 625-638 (2013). MSC: 62H30 62H12 PDFBibTeX XMLCite \textit{G. Galimberti} and \textit{G. Soffritti}, Stat. Comput. 23, No. 5, 625--638 (2013; Zbl 1322.62167) Full Text: DOI
Sasu, L. M.; Andonie, R. Bayesian ARTMAP for regression. (English) Zbl 1296.68143 Neural Netw. 46, 23-31 (2013). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{L. M. Sasu} and \textit{R. Andonie}, Neural Netw. 46, 23--31 (2013; Zbl 1296.68143) Full Text: DOI
Filippone, M.; Zhong, M.; Girolami, M. A comparative evaluation of stochastic-based inference methods for Gaussian process models. (English) Zbl 1294.62048 Mach. Learn. 93, No. 1, 93-114 (2013). MSC: 62F15 62G05 60G15 65C40 PDFBibTeX XMLCite \textit{M. Filippone} et al., Mach. Learn. 93, No. 1, 93--114 (2013; Zbl 1294.62048) Full Text: DOI
Lu, Luo; Jiang, Hui; Wong, Wing H. Multivariate density estimation by Bayesian sequential partitioning. (English) Zbl 1283.62165 J. Am. Stat. Assoc. 108, No. 504, 1402-1410 (2013). MSC: 62L10 65C60 62H12 62F15 62H30 PDFBibTeX XMLCite \textit{L. Lu} et al., J. Am. Stat. Assoc. 108, No. 504, 1402--1410 (2013; Zbl 1283.62165) Full Text: DOI
Nakajima, Shinichi; Sugiyama, Masashi; Babacan, S. Derin Variational Bayesian sparse additive matrix factorization. (English) Zbl 1273.62136 Mach. Learn. 92, No. 2-3, 319-347 (2013). MSC: 62H25 62F15 68T05 PDFBibTeX XMLCite \textit{S. Nakajima} et al., Mach. Learn. 92, No. 2--3, 319--347 (2013; Zbl 1273.62136) Full Text: DOI
Gramacy, Robert B.; Taddy, Matt; Wild, Stefan M. Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning. (English) Zbl 1454.62239 Ann. Appl. Stat. 7, No. 1, 51-80 (2013). MSC: 62K20 62F15 62G08 PDFBibTeX XMLCite \textit{R. B. Gramacy} et al., Ann. Appl. Stat. 7, No. 1, 51--80 (2013; Zbl 1454.62239) Full Text: DOI arXiv Euclid
Wei, Xin; Yang, Zhen The infinite Student’s \(t\)-factor mixture analyzer for robust clustering and classification. (English) Zbl 1248.68420 Pattern Recognition 45, No. 12, 4346-4357 (2012). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{X. Wei} and \textit{Z. Yang}, Pattern Recognition 45, No. 12, 4346--4357 (2012; Zbl 1248.68420) Full Text: DOI
Kelner, Roy; Lerner, Boaz Learning Bayesian network classifiers by risk minimization. (English) Zbl 1242.68230 Int. J. Approx. Reasoning 53, No. 2, 248-272 (2012). MSC: 68T05 62F15 62H30 PDFBibTeX XMLCite \textit{R. Kelner} and \textit{B. Lerner}, Int. J. Approx. Reasoning 53, No. 2, 248--272 (2012; Zbl 1242.68230) Full Text: DOI
Carvalho, Alexandra M.; Roos, Teemu; Oliveira, Arlindo L.; Myllymäki, Petri Discriminative learning of Bayesian networks via factorized conditional log-likelihood. (English) Zbl 1280.68158 J. Mach. Learn. Res. 12, 2181-2210 (2011). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{A. M. Carvalho} et al., J. Mach. Learn. Res. 12, 2181--2210 (2011; Zbl 1280.68158) Full Text: Link
Broderick, Tamara; Gramacy, Robert B. Classification and categorical inputs with treed Gaussian process models. (English) Zbl 1226.62057 J. Classif. 28, No. 2, 244-270 (2011). MSC: 62H30 62F15 65C05 62G08 62M99 05C05 PDFBibTeX XMLCite \textit{T. Broderick} and \textit{R. B. Gramacy}, J. Classif. 28, No. 2, 244--270 (2011; Zbl 1226.62057) Full Text: DOI arXiv
Chatzis, Sotirios P.; Kosmopoulos, Dimitrios I. A variational Bayesian methodology for hidden Markov models utilizing Student’s-\(t\) mixtures. (English) Zbl 1211.68349 Pattern Recognition 44, No. 2, 295-306 (2011). MSC: 68T10 62F15 65C40 PDFBibTeX XMLCite \textit{S. P. Chatzis} and \textit{D. I. Kosmopoulos}, Pattern Recognition 44, No. 2, 295--306 (2011; Zbl 1211.68349) Full Text: DOI
Shawe-Taylor, John; Parrado-Hernández, Emilio; Ambroladze, Amiran Data dependent priors in PAC-Bayes bounds. (English) Zbl 1436.62284 Lechevallier, Yves (ed.) et al., Proceedings of COMPSTAT’2010. 19th international conference on computational statistics, Paris, France, August 22–27, 2010. Keynote, invited and contributed papers. Heidelberg: Physica Verlag. 231-240 (2010). MSC: 62H30 62C10 62-08 PDFBibTeX XMLCite \textit{J. Shawe-Taylor} et al., in: Proceedings of COMPSTAT'2010. 19th international conference on computational statistics, Paris, France, August 22--27, 2010. Keynote, invited and contributed papers. Heidelberg: Physica Verlag. 231--240 (2010; Zbl 1436.62284) Full Text: DOI
Pernkopf, Franz; Bilmes, Jeff A. Efficient heuristics for discriminative structure learning of Bayesian network classifiers. (English) Zbl 1242.68294 J. Mach. Learn. Res. 11, 2323-2360 (2010). MSC: 68T20 68T05 62H30 62F15 PDFBibTeX XMLCite \textit{F. Pernkopf} and \textit{J. A. Bilmes}, J. Mach. Learn. Res. 11, 2323--2360 (2010; Zbl 1242.68294) Full Text: Link
Ferrandiz, Sylvain; Boullé, Marc Bayesian instance selection for the nearest neighbor rule. (English) Zbl 1470.68102 Mach. Learn. 81, No. 3, 229-256 (2010). MSC: 68T05 62C10 62H30 68T10 68U05 PDFBibTeX XMLCite \textit{S. Ferrandiz} and \textit{M. Boullé}, Mach. Learn. 81, No. 3, 229--256 (2010; Zbl 1470.68102) Full Text: DOI
Freno, A.; Trentin, E.; Gori, M. A hybrid random field model for scalable statistical learning. (English) Zbl 1335.68200 Neural Netw. 22, No. 5-6, 603-613 (2009). MSC: 68T05 62M40 68T20 PDFBibTeX XMLCite \textit{A. Freno} et al., Neural Netw. 22, No. 5--6, 603--613 (2009; Zbl 1335.68200) Full Text: DOI
Hui, Bei; Yang, Ying; Webb, Geoffrey I. Anytime classification for a pool of instances. (English) Zbl 1473.62222 Mach. Learn. 77, No. 1, 61-102 (2009). MSC: 62H30 68T05 PDFBibTeX XMLCite \textit{B. Hui} et al., Mach. Learn. 77, No. 1, 61--102 (2009; Zbl 1473.62222) Full Text: DOI
Boullé, Marc Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach. (English) Zbl 1231.62030 Adv. Data Anal. Classif., ADAC 3, No. 1, 39-61 (2009). MSC: 62F15 62H30 62-07 65C60 PDFBibTeX XMLCite \textit{M. Boullé}, Adv. Data Anal. Classif., ADAC 3, No. 1, 39--61 (2009; Zbl 1231.62030) Full Text: DOI
Jing, Yushi; Pavlović, Vladimir; Rehg, James M. Boosted Bayesian network classifiers. (English) Zbl 1470.68121 Mach. Learn. 73, No. 2, 155-184 (2008). MSC: 68T05 62H22 62H30 PDFBibTeX XMLCite \textit{Y. Jing} et al., Mach. Learn. 73, No. 2, 155--184 (2008; Zbl 1470.68121) Full Text: DOI
Grzegorczyk, Marco; Husmeier, Dirk Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move. (English) Zbl 1470.62075 Mach. Learn. 71, No. 2-3, 265-305 (2008). MSC: 62H22 62P10 68T05 92C42 PDFBibTeX XMLCite \textit{M. Grzegorczyk} and \textit{D. Husmeier}, Mach. Learn. 71, No. 2--3, 265--305 (2008; Zbl 1470.62075) Full Text: DOI
Gustafson, Paul; Lefebvre, Geneviève Bayesian multinomial regression with class-specific predictor selection. (English) Zbl 1156.62018 Ann. Appl. Stat. 2, No. 4, 1478-1502 (2008). MSC: 62F15 65C05 65C40 PDFBibTeX XMLCite \textit{P. Gustafson} and \textit{G. Lefebvre}, Ann. Appl. Stat. 2, No. 4, 1478--1502 (2008; Zbl 1156.62018) Full Text: DOI arXiv
Boullé, Marc Compression-based averaging of selective naïve Bayes classifiers. (English) Zbl 1222.62035 J. Mach. Learn. Res. 8, 1659-1685 (2007). MSC: 62F15 62H30 PDFBibTeX XMLCite \textit{M. Boullé}, J. Mach. Learn. Res. 8, 1659--1685 (2007; Zbl 1222.62035) Full Text: Link
Yang, Ying; Webb, Geoff; Korb, Kevin; Ting, Kai Ming Classifying under computational resource constraints: anytime classification using probabilistic estimators. (English) Zbl 1470.68203 Mach. Learn. 69, No. 1, 35-53 (2007). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{Y. Yang} et al., Mach. Learn. 69, No. 1, 35--53 (2007; Zbl 1470.68203) Full Text: DOI
Karčiauskas, Gytis Learning of latent class models by splitting and merging components. (English) Zbl 1117.62065 Lucas, Peter (ed.) et al., Advances in probabilistic graphical models. Selected papers based on the presentations at the 2nd European workshop on probabilistic graphical models (PGM 2004), Leiden, The Netherlands, October 4–8, 2004. Berlin: Springer (ISBN 978-3-540-68994-2/bhk). Studies in Fuzziness and Soft Computing 213, 235-251 (2007). MSC: 62H99 68T99 62-04 62F15 PDFBibTeX XMLCite \textit{G. Karčiauskas}, Stud. Fuzziness Soft Comput. 213, 235--251 (2007; Zbl 1117.62065)
Pérez, Aritz; Larrañaga, Pedro; Inza, Iñaki Supervised classification with conditional Gaussian networks: increasing the structure complexity from naive Bayes. (English) Zbl 1097.62057 Int. J. Approx. Reasoning 43, No. 1, 1-25 (2006). MSC: 62H30 62F15 65C60 PDFBibTeX XMLCite \textit{A. Pérez} et al., Int. J. Approx. Reasoning 43, No. 1, 1--25 (2006; Zbl 1097.62057) Full Text: DOI
Holmes, C. C.; Adams, N. M. A probabilistic nearest neighbour method for statistical pattern recognition. (English) Zbl 1059.62065 J. R. Stat. Soc., Ser. B, Stat. Methodol. 64, No. 2, 295-306 (2002). MSC: 62H30 62F15 62G99 68T10 PDFBibTeX XMLCite \textit{C. C. Holmes} and \textit{N. M. Adams}, J. R. Stat. Soc., Ser. B, Stat. Methodol. 64, No. 2, 295--306 (2002; Zbl 1059.62065) Full Text: DOI