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» On LR(k)-Parsers of Polynomial Size
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AI
2010
Springer
14 years 10 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
CORR
2010
Springer
117views Education» more  CORR 2010»
14 years 10 months ago
Evolution with Drifting Targets
We consider the question of the stability of evolutionary algorithms to gradual changes, or drift, in the target concept. We define an algorithm to be resistant to drift if, for s...
Varun Kanade, Leslie G. Valiant, Jennifer Wortman ...
90
Voted
CORR
2010
Springer
190views Education» more  CORR 2010»
14 years 10 months ago
Bidimensionality and EPTAS
Bidimensionality theory appears to be a powerful framework for the development of metaalgorithmic techniques. It was introduced by Demaine et al. [J. ACM 2005 ] as a tool to obtai...
Fedor V. Fomin, Daniel Lokshtanov, Venkatesh Raman...
IEICET
2008
67views more  IEICET 2008»
14 years 10 months ago
Learning of Finite Unions of Tree Patterns with Internal Structured Variables from Queries
We consider the polynomial time learnability of finite unions of ordered tree patterns with internal structured variables, in the query learning model of Angluin (1988). An ordered...
Satoshi Matsumoto, Takayoshi Shoudai, Tomoyuki Uch...
ICGI
2010
Springer
14 years 8 months ago
Learning PDFA with Asynchronous Transitions
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
Borja Balle, Jorge Castro, Ricard Gavaldà