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UAI
2004
15 years 7 months ago
Case-Factor Diagrams for Structured Probabilistic Modeling
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
David A. McAllester, Michael Collins, Fernando Per...
ACL
1993
15 years 7 months ago
Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
AI
2008
Springer
15 years 6 months ago
Conditional independence and chain event graphs
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
Jim Q. Smith, Paul E. Anderson
CSDA
2008
120views more  CSDA 2008»
15 years 6 months ago
Tree-structured smooth transition regression models
ABSTRACT. This paper introduces a tree-based model that combines aspects of CART (Classification and Regression Trees) and STR (Smooth Transition Regression). The model is called t...
Joel Corrêa da Rosa, Alvaro Veiga, Marcelo C...
JFP
2006
113views more  JFP 2006»
15 years 6 months ago
Efficient manipulation of binary data using pattern matching
Pattern matching is an important operation in functional programs. So far, pattern matching has been investigated in the context of structured terms. This article presents an appr...
Per Gustafsson, Konstantinos F. Sagonas