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ICML
2002
IEEE
16 years 5 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
15 years 9 months 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 5 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 4 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»
15 years 10 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