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Machine learning : a probabilistic perspective

. Adaptive computation and machine learning series MIT, Cambridge, MA, (2012)

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Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (2012), and . CoRR, (2013)Loopy Belief Propagation for Approximate Inference: An Empirical Study, , and . CoRR, (2013)Group Sparse Priors for Covariance Estimation, , and . CoRR, (2012)Modeling changing dependency structure in multivariate time series., and . ICML, volume 227 of ACM International Conference Proceeding Series, page 1055-1062. ACM, (2007)Sharing Visual Features for Multiclass and Multiview Object Detection., , and . IEEE Trans. Pattern Anal. Mach. Intell., 29 (5): 854-869 (2007)Object Detection and Localization Using Local and Global Features., , , and . Toward Category-Level Object Recognition, volume 4170 of Lecture Notes in Computer Science, page 382-400. Springer, (2006)Bayesian statistics. Machine Learning: A Probabilistic Approach, MIT Press, Cambridge, MA, USA, (2012)Markov and Hidden Markov Models. Machine Learning: A Probabilistic Approach, MIT Press, Cambridge, MA, USA, (2012)Generative models for discrete data. Machine Learning: A Probabilistic Approach, MIT Press, Cambridge, MA, USA, (2012)Machine learning : a probabilistic perspective. MIT Press, Cambridge, Mass. u.a., (2013)