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FLAIRS
2004
13 years 10 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
WIA
2001
Springer
14 years 1 months ago
Compilation Methods of Minimal Acyclic Finite-State Automata for Large Dictionaries
Abstract. We present a reflection on the evolution of the different methods for constructing minimal deterministic acyclic finite-state automata from a finite set of words. We ...
Jorge Graña, Francisco-Mario Barcala, Migue...
WIA
1999
Springer
14 years 26 days ago
An Extendible Regular Expression Compiler for Finite-State Approaches in Natural Language Processing
Finite-state techniques are widely used in various areas of Natural Language Processing (NLP). As Kaplan and Kay [12] have argular expressions are the appropriate level of abstract...
Gertjan van Noord, Dale Gerdemann
WIA
2000
Springer
14 years 5 days ago
Applications of Finite-State Transducers in Natural Language Processing
This paper is a review of some of the major applications of finite-state transducers in Natural Language Processing ranging from morphological analysis to finite-state parsing. The...
Lauri Karttunen
DIAGRAMS
2008
Springer
13 years 10 months ago
Enhancing State-Space Tree Diagrams for Collaborative Problem Solving
State-space search methods in problem solving have often been illustrated using tree diagrams. We explore a set of issues related to coordination in collaborative problem solving a...
Steven L. Tanimoto