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Genetic-based EM algorithm for learning Gaussian mixture models
Pernkopf, F., Bouchaffra, D.
Published in IEEE transactions on pattern analysis and machine intelligence (01.08.2005)
Published in IEEE transactions on pattern analysis and machine intelligence (01.08.2005)
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Journal Article
Grouped-coordinate ascent algorithms for penalized-likelihood transmission image reconstruction
Fessler, J.A., Ficaro, E.P., Clinthorne, N.H., Lange, K.
Published in IEEE transactions on medical imaging (01.04.1997)
Published in IEEE transactions on medical imaging (01.04.1997)
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Journal Article
Time series models based on the unrestricted skew-normal process
Zarrin, Parisa, Maleki, Mohsen, Khodadai, Zahra, Arellano-Valle, Reinaldo B.
Published in Journal of statistical computation and simulation (02.01.2019)
Published in Journal of statistical computation and simulation (02.01.2019)
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Journal Article
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Hyun-Chul Kim, Ghahramani, Z.
Published in IEEE transactions on pattern analysis and machine intelligence (01.12.2006)
Published in IEEE transactions on pattern analysis and machine intelligence (01.12.2006)
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Journal Article
Classifying design-level requirements using machine learning for a recommender of interaction design patterns
Silva-Rodríguez, Viridiana, Nava-Muñoz, Sandra Edith, Castro, Luis A, Martínez-Pérez, Francisco E, Pérez-González, Héctor G, Torres-Reyes, Francisco
Published in IET software (01.10.2020)
Published in IET software (01.10.2020)
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Journal Article
A Two-Layer Mixture Model of Gaussian Process Functional Regressions and Its MCMC EM Algorithm
Wu, Di, Ma, Jinwen
Published in IEEE transaction on neural networks and learning systems (01.10.2018)
Published in IEEE transaction on neural networks and learning systems (01.10.2018)
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Journal Article
Unsupervised learning algorithm for time series using bivariate AR(1) model
Vedavathi, K., Srinivasa Rao, K., Nirupama Devi, K.
Published in Expert systems with applications (01.06.2014)
Published in Expert systems with applications (01.06.2014)
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Journal Article
Ascent-based Monte Carlo expectation- maximization
Caffo, Brian S., Jank, Wolfgang, Jones, Galin L.
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.04.2005)
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.04.2005)
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Journal Article
A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents
Zhang, Zhen, Wang, Dongqing, Zhao, Dongbin, Han, Qiaoni, Song, Tingting
Published in IEEE access (2018)
Published in IEEE access (2018)
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Journal Article
Variational-Based Mixed Noise Removal With CNN Deep Learning Regularization
Wang, Faqiang, Huang, Haiyang, Liu, Jun
Published in IEEE transactions on image processing (01.01.2020)
Published in IEEE transactions on image processing (01.01.2020)
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Journal Article
Identification of robust Gaussian Process Regression with noisy input using EM algorithm
Daemi, Atefeh, Alipouri, Yousef, Huang, Biao
Published in Chemometrics and intelligent laboratory systems (15.08.2019)
Published in Chemometrics and intelligent laboratory systems (15.08.2019)
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Journal Article
A comparison of algorithms for inference and learning in probabilistic graphical models
Frey, B.J., Jojic, N.
Published in IEEE transactions on pattern analysis and machine intelligence (01.09.2005)
Published in IEEE transactions on pattern analysis and machine intelligence (01.09.2005)
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Journal Article