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An introduction to MCMC for machine learning

by: C. Andrieu, N. de Freitas, A. Doucet, M. Jordan

(2003)

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Abstract

This purpose of this introductory paper is threefold. First, it introduces the Monte Carlo method with emphasis on probabilistic machine learning. Second, it reviews the main building blocks of modern Markov chain Monte Carlo simulation, thereby providing and introduction to the remaining papers of this special issue. Lastly, it discusses new interesting research horizons.

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ace acquisition active active_learning adaboost adaptation agglomerative agreement algorithm algorithms allocation alternations ambiguity amibguity analysis anaphora annotation answering argument aso attachment author autoclass average bag-of-concepts based bayes bayesian b-cubed belief bell bigrams bilingual binomial biocreative bioinformatics biomedical bionlp blocked bloom bloomier boom boosting bootstrapping bottleneck boundary bregman buffet by carlo categorical categorization ccg chain change chunking church citation class classification classifier cluster clustering coalescent cobweb codes collapsed combination combinatorial comlex committee comparison complete-link component compositional compound concept concept_discovery conditional confidence conformal conjugacy conll constrained_clustering constraints context contraints contrastive convergence conway cooccurrence coreference corpora corpus correcting correlated correspondence cost co-testing co-training counts crf crfs criterion curation data datasets decision dependencies dependency detection dictionaries dimensionality dirichlet disambiguation discrete discriminative dissimilarity distance distributed distribution distributional divergence document domain dynamic ecoc eigenvalues em english ensemble entailment entity entrez entropy error estimation evaluation even event evolution expectation expectation-maximization experiments exponential extraction factorization feature feedback field fields filtering filters fisher flybase flyslip frame frames frequency functions gamma gaussian gene gene_ontology generalized generation generative geneways genia german gibbs gibs gradient grammar grammatical graph graph-based graphical graph_kernel guidelines harmonic hashing heat hedge hellinger hidden hierarchical hierarchy hmm hpsg human hybrid ibp identification identifier index indexing indian induction inference infinite information information_gain instance interaction inter-annotator interpretation inverse iob iobew kalman kdd kernel kernels kingman kl-divergence k-means knn kullback labeling labelling labels language laplacian large laten latent lda learning leibler lexical lexicon lexico-semantic likelihood lingpipe linguistic logarithmic logic logistic loopy lop lsi machine machines mallet map_reduce maps margin margins markov matching matrix max maximization maximum maxwell mcmc measure membership message-passing methods metric metrics metropolis mining mira mixture modal model modelling models monte multiclass multilingual multinomial multinomials multiple multi-task muticlass mutliple mutual_information naive name named ncbi nearest neighbors ner network networks nlp noise nominalizations non-negative non-parametric normalization noun on-line ontology opinion output overlap pagerank parallel parameter paraphrase paraphrasing parse parser parsing partial particle part-of-speech pca pcfg people perceptron performance phrase phylogenetic pitman point poisson polysemous polysemy pomdps pool pos positive postnominal ppi predicate prediction prepositional principal prior priors probabilistic probability process processes programming propaagation proper protein protein-protein prototype-driven qbc query query_by_committee question rand random ranking rasp rcv1 recognition reduction regression reinforcement relatedness relation relational relations relationships resolution retrieval reusability reuters role rules sampling scheme scixml scope scoring search seed segmentation selection selective self-organizing self-training semantic semantics semi-markov semi-supervised sense sentiment sequence series shallow shared similarity single-link sketch skip-chain slice smoothing social soft softtfidf software space spam sparse spectral spectral_clustering speculative speech split-merge statistical statistics stick-breaking stopping string string_kernel structural structure subcategorization summarization supertagging supervised support svm svms switching syntactic tagging task term text textual theory time timed topic training transductive transfer transformation-based translation tree tutorial uncertainty underspecification uneven unigrams unlabelled unsupervised user variable variable-length variables variational variational_inference vector verb verbs views v-measure walks web weighting word wordnet wsd xml yor zone

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