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ALENEX
2007
158views Algorithms» more  ALENEX 2007»
15 years 7 months ago
Faster Filters for Approximate String Matching
We introduce a new filtering method for approximate string matching called the suffix filter. It has some similarity with well-known filtration algorithms, which we call factor...
Juha Kärkkäinen, Joong Chae Na
SAT
2007
Springer
99views Hardware» more  SAT 2007»
16 years 10 days ago
Horn Upper Bounds and Renaming
Abstract. We consider the problem of computing tractable approximations to CNF formulas, extending the approach of Selman and Kautz to compute the Horn-LUB to involve renaming of v...
Marina Langlois, Robert H. Sloan, György Tur&...
SODA
2008
ACM
138views Algorithms» more  SODA 2008»
15 years 7 months ago
Fully polynomial time approximation schemes for stochastic dynamic programs
We develop a framework for obtaining Fully Polynomial Time Approximation Schemes (FPTASs) for stochastic univariate dynamic programs with either convex or monotone single-period c...
Nir Halman, Diego Klabjan, Chung-Lun Li, James B. ...
NIPS
1998
15 years 7 months ago
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
Thomas Briegel, Volker Tresp
ECML
2004
Springer
15 years 11 months ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
Bernhard Hengst