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» Concept Convergence in Empirical Domains
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AGENTS
1999
Springer
13 years 9 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 8 months ago
Smart crossover operator with multiple parents for a Pittsburgh learning classifier system
This paper proposes a new smart crossover operator for a Pittsburgh Learning Classifier System. This operator, unlike other recent LCS approaches of smart recombination, does not ...
Jaume Bacardit, Natalio Krasnogor
SBBD
2004
137views Database» more  SBBD 2004»
13 years 6 months ago
A Lock Manager for Collaborative Processing of Natively Stored XML Documents
Today, neither transactional provisions, in general, nor concurrency control, in particular, of DBMS-based processing are tailored to the specific needs of large and collaborative...
Michael Peter Haustein, Theo Härder
MM
2010
ACM
265views Multimedia» more  MM 2010»
13 years 5 months ago
Affective image classification using features inspired by psychology and art theory
Images can affect people on an emotional level. Since the emotions that arise in the viewer of an image are highly subjective, they are rarely indexed. However there are situation...
Jana Machajdik, Allan Hanbury
AI
1999
Springer
13 years 4 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram