Viterbi training in PRISM

DOI10.1017/S1471068413000677zbMath1379.68272arXiv1303.5659MaRDI QIDQ4592976

Keiichi Kubota, Taisuke Sato

Publication date: 9 November 2017

Published in: Theory and Practice of Logic Programming (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1303.5659

zbMATH Keywords

Viterbi trainingPRISMexclusiveness condition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

Symbolic DNN-tuner ⋮ Lifted discriminative learning of probabilistic logic programs ⋮ PRISM revisited: declarative implementation of a probabilistic programming language using multi-prompt delimited control ⋮ Learning to rank in PRISM

Uses Software

• UCI-ml
• ProbLog
• PITA

Cites Work

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• Variational Bayes via propositionalized probability computation in PRISM
• Bayesian network classifiers
• Not so naive Bayes: Aggregating one-dependence estimators
• Probabilistic inductive logic programming. Theory and applications
• The PITA system: Tabling and answer subsumption for reasoning under uncertainty
• The segmental K-means algorithm for estimating parameters of hidden Markov models
• A computationally efficient approach to the estimation of two- and three-dimensional hidden Markov models
• Evaluating Learning Algorithms
• ADJUSTED VITERBI TRAINING
• Linear tabling strategies and optimizations
• Probabilistic Inductive Logic Programming
• On the Efficient Execution of ProbLog Programs

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