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» Dynamic Modeling in Inductive Inference
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ACL
2009
14 years 9 months ago
A Gibbs Sampler for Phrasal Synchronous Grammar Induction
We present a phrasal synchronous grammar model of translational equivalence. Unlike previous approaches, we do not resort to heuristics or constraints from a word-alignment model,...
Phil Blunsom, Trevor Cohn, Chris Dyer, Miles Osbor...
ECCC
2008
117views more  ECCC 2008»
14 years 11 months ago
The complexity of learning SUBSEQ(A)
Higman essentially showed that if A is any language then SUBSEQ(A) is regular, where SUBSEQ(A) is the language of all subsequences of strings in A. Let s1, s2, s3, . . . be the sta...
Stephen A. Fenner, William I. Gasarch, Brian Posto...
ECML
2005
Springer
15 years 5 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont
ICTAI
2008
IEEE
15 years 5 months ago
Discovering Program's Behavioral Patterns by Inferring Graph-Grammars from Execution Traces
Frequent patterns in program executions represent recurring sequences of events. These patterns can be used to reveal the hidden structures of a program, and ease the comprehensio...
Chunying Zhao, Keven Ates, Jun Kong, Kang Zhang
ICML
2005
IEEE
16 years 8 days ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty