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Jaakkola
Results: 79

#	Item
41	6.867 Machine learning, lecture 23 (Jaakkola) 1 Lecture topics: • Markov Random Fields Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Graphical model Bill of material based on characteristics GEC
42	6.867 Machine learning, lecture 21 (Jaakkola) Lecture topics: Bayesian networks Bayesian networks Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical models Networks Probability and statistics Mathematics Bayesian network Hidden Markov model Connectivity Graph Binary decision diagram Graphical models Statistics Bayesian statistics
43	6.867 Machine learning, lecture 6 (Jaakkola) 1 Lecture topics: • Active learning Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Regression analysis Econometrics Estimation theory Linear algebra Numerical linear algebra Linear regression Kernel Polynomial regression Maximum likelihood Algebra Mathematics Statistics
44	6.867 Machine learning, lecture 17 (Jaakkola) 1 Lecture topics: • Mixture models and clustering, k-means Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Estimation theory Cluster analysis Data mining Expectation–maximization algorithm K-means clustering Information bottleneck method Hierarchical clustering Mixture model Maximum likelihood Statistics Multivariate statistics Machine learning
45	6.867 Machine learning, lecture 22 (Jaakkola) 1 Lecture topics: • Learning Bayesian networks from data Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Maximum likelihood Marginal likelihood Conjugate prior Likelihood function Bayesian statistics Statistics Bayesian network
46	6.867 Machine learning, lecture 18 (Jaakkola) 1 Lecture topics: • Spectral clustering, random walks and Markov chains Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Multivariate statistics Singular value decomposition Matrix theory Markov processes Markov models Graph partition Eigenvalues and eigenvectors Markov chain Cluster analysis Statistics Algebra Mathematics
47	6.867 Machine learning, lecture 19 (Jaakkola) 1 Lecture topics: • Markov chains (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Markov processes Probability Hidden Markov model Markov chain Markov property Mixture model Statistics Markov models Probability and statistics
48	6.867 Machine learning, lecture 20 (Jaakkola) 1 Lecture topics: • Hidden Markov Models (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Probability and statistics Dynamic programming Error detection and correction Bioinformatics Hidden Markov model Viterbi algorithm Markov chain Forward–backward algorithm Expectation–maximization algorithm Statistics Markov models Machine learning
49	International Journal of Comparative Psychology, 2010, 23, [removed]Copyright 2010 by the International Society for Comparative Psychology Blindfolded Imitation in a Bottlenose Dolphin (Tursiops truncatus) Kelly Jaakkola Add to Reading List Source URL: www.comparativepsychology.org Language: English - Date: 2010-11-17 07:00:09 Behaviorism Social learning theory Zoology Ethology Bottlenose dolphin Imitation Biology Animal echolocation Cetacean intelligence Dolphins Cetaceans Oceanic dolphins
50	Effects of textured compression socks on postural control in physically active elderly individuals WOO, M.T., DAVIDS, K, LIUKKONEN, J., JAAKKOLA, T. and CHOW, J.Y. Available from Sheffield Hallam University Research Arch Add to Reading List Source URL: shura.shu.ac.uk Language: English - Date: 2014-07-08 23:24:38 Mechanics Physics Biomechanics Balance Recurrence quantification analysis

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