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ICML
2002
IEEE
16 years 7 months ago
Discovering Hierarchy in Reinforcement Learning with HEXQ
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
Bernhard Hengst
CIKM
2004
Springer
16 years 3 days ago
Stemming and lemmatization in the clustering of finnish text documents
Under construction… Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – clustering. General Terms Algorithms, Expe...
Tuomo Korenius, Jorma Laurikkala, Kalervo Jär...
HCI
2007
15 years 8 months ago
Modeling Human Bipedal Navigation in a Dynamic Three Dimensional Virtual Environment
The current research sought to construct a computational model of human navigation for virtual three dimensional environments. The model was implemented within the ACT-R cognitive ...
Mark D. Thomas, Daniel W. Carruth, Bryan Robbins, ...
ARSCOM
2004
91views more  ARSCOM 2004»
15 years 6 months ago
Edge-critical isometric subgraphs of hypercubes
All cubic partial cubes (i.e., cubic isometric subgraphs of hypercubes) up to 30 vertices and all edge-critical partial cubes up to 14 vertices are presented. The lists of graphs ...
Sandi Klavzar, Alenka Lipovec
GECCO
2009
Springer
143views Optimization» more  GECCO 2009»
16 years 1 months ago
Exploiting hierarchical clustering for finding bounded diameter minimum spanning trees on euclidean instances
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising, for example, in network design when quality of service is of concern. ...
Martin Gruber, Günther R. Raidl