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» Learning Relational Sum-Product Networks
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96
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CG
2000
Springer
15 years 3 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
88
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NECO
2007
150views more  NECO 2007»
14 years 10 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
WEBNET
2000
15 years 6 days ago
New Approaches to Law Education: Making the Case for Web-based Learning
: Web-based instruction and online learning are changing customary practices in education. As conventional patterns for content delivery are influenced by new and improving technol...
Jennifer Gramling, Tom Galligan, Jean A. Derco
GECCO
2000
Springer
15 years 2 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith
AI
2005
Springer
14 years 10 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda