davidr's tags

active-learning adaptivity approximation-theory artificial-intelligence asymptotics bayesian bayes-nets belief-prop benchmarks bibtex-import bma book boosting bounds calibration cca chatroom classification clustering coding collaborative-filtering conditional-models confidence coreference coregularization cotraining counts crf data-sets decision-trees density-estimation detection determinant dimension-reduction dirichlet-processes distribution-theory document-classification ecc-classification eda eigen-methods em empirical-processes empirical-results ensemble ergodic-theory expansion experiment-design exponential-families feature-selection functional-analysis gam gaussian-process generalization genmodel-classification glm gmm good-turing graphical-models hadamard hierarchical hmm inequalities information-geometry information-theory iterative iterative-scaling kernel-from-genmodel kernel-method kernels knowledge-incorporation language-modeling lda learning-to-learn local-learning log-loss manifold manifolds math matlab matrix maxent mcmc mdl mds memm microarray minimax mixture-models mixture-of-experts mle mml model-selection multiclass-classification multiview naive-bayes named-entity-recognition neural-network nml nonparametric normal-distribution-theory numerical-methods online-learning optimization pac-bayes pac-learning parsing partially-supervised pca plsa polycategorical-classification pos-tagging posterior-regression priors probability-theory rademacher random-matrix rates regression regularization rkhs rkhs-theory seegerkakadefoster05gaussian self-training semi-markov semisupervised sequence-models sequence-prediction sieves smoothing software spectral-graph spelling-correction spline stability stat198 statistical-learning-theory statistics stochastic-complexity structured-classification survey svd svm tagged text-classification theoretical-analysis topic-models transduction transfer-learning tutorial universal-coding unsupervised vision word-sense-disambiguation

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