Block-Seminar "Classical Topics in Machine Learning"
Termine und Informationen
Erster Termin für Themenvergabe |
Mittwoch, 16.11.2011, 10:00-12:00 Uhr, Raum FR 6046 |
Verantwortlich |
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Ansprechtpartner(in) |
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Sprechzeiten |
Nach Vereinbarung |
Sprache |
Englisch |
Anrechenbarkeit |
Wahlpflicht LV im Modul Maschinelles Lernen I (Informatik M.Sc.) |
All information can be found in the ISIS course
Topics (tentative)
Paper(s) |
Betreuer |
Vortragender |
Nonlinear Dimensionality Reduction by Locally Linear Embedding link |
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Gaussian Processes - A Replacement for Supervised Neural Networks? link |
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Factor Graphs and the Sum-Product Algorithm link |
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Gaussian Processes in Machine Learning link |
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A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition link |
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Decoding by Linear Programming link |
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Self-organizing formation of topologically correct feature maps |
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Special Invited Paper. Additive Logistic Regression: A Statistical View of Boosting link |
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Expectation Propagation for approximate Bayesian inference link |
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A new look at the statistical model identification link |
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Error Correction via Linear Programming link |
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A Global Geometric Framework for Nonlinear Dimensionality Reduction link |
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An Introduction to MCMC for Machine Learning link |
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Perspectives on Sparse Bayesian Learning link |
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Induction of decision trees link |
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A Fast Learning Algorithm for Deep Belief Nets link |
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How to Use Expert Advice link |
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A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants link |
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Probabilistic Inference using Markov Chain Monte Carlo Methods link |
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Model Selection Using the Minimum Description Length Principle link |
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Hierarchical Mixtures of Experts and the EM Algorithm link |
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Gaussian Processes in Reinforcement Learning link |
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An introduction to variational methods for graphical models link |
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