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SAB
2010
Springer
189views Optimization» more  SAB 2010»
13 years 5 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer
ICML
1994
IEEE
13 years 11 months ago
Hierarchical Self-Organization in Genetic programming
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
Justinian P. Rosca, Dana H. Ballard
ECAI
2000
Springer
14 years 7 days ago
Enriching very large ontologies using the WWW
This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW...
Eneko Agirre, Olatz Ansa, Eduard H. Hovy, David Ma...
ICASSP
2010
IEEE
13 years 8 months ago
Fast likelihood computation using hierarchical Gaussian shortlists
We investigate the use of hierarchical Gaussian shortlists to speed up Gaussian likelihood computation. This approach is a combination of hierarchical Gaussian selection and stand...
Xin Lei, Arindam Mandal, Jing Zheng
BMCBI
2004
96views more  BMCBI 2004»
13 years 7 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...