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158
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TSMC
2002
98views more  TSMC 2002»
15 years 6 months ago
The STAR automaton: expediency and optimality properties
Abstract--We present the STack ARchitecture (STAR) automaton. It is a fixed structure, multiaction, reward-penalty learning automaton, characterized by a star-shaped state transiti...
Anastasios A. Economides, Athanasios Kehagias
239
Voted
SGAI
2010
Springer
15 years 4 months ago
Hierarchical Traces for Reduced NSM Memory Requirements
This paper presents work on using hierarchical long term memory to reduce the memory requirements of nearest sequence memory (NSM) learning, a previously published, instance-based ...
Torbjørn S. Dahl
JMLR
2010
211views more  JMLR 2010»
15 years 1 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
Bo Dai, Baogang Hu
161
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CORR
2010
Springer
116views Education» more  CORR 2010»
15 years 7 months ago
Heuristics in Conflict Resolution
Modern solvers for Boolean Satisfiability (SAT) and Answer Set Programming (ASP) are based on sophisticated Boolean constraint solving techniques. In both areas, conflict-driven l...
Christian Drescher, Martin Gebser, Benjamin Kaufma...
216
Voted
ICONFERENCE
2011
15 years 1 months ago
The structure of collaborative problem solving in a virtual math team
To develop a science of small-group interaction in groupware, we need a method for analyzing the structure of computer-mediated discourse. Conversation analysis offers an analysis...
Gerry Stahl