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COMPLEXITY
2008
84views more  COMPLEXITY 2008»
13 years 7 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
HEURISTICS
2008
170views more  HEURISTICS 2008»
13 years 7 months ago
Accelerating autonomous learning by using heuristic selection of actions
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
KDD
2009
ACM
205views Data Mining» more  KDD 2009»
14 years 2 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
NIPS
2004
13 years 9 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
COGSCI
2010
105views more  COGSCI 2010»
13 years 7 months ago
The Role of Explanation in Discovery and Generalization: Evidence From Category Learning
Research in education and cognitive development suggests that explaining plays a key role in learning and generalization: When learners provide explanations--even to themselves--t...
Joseph J. Williams, Tania Lombrozo