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PRICAI
2000
Springer
15 years 1 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
15 years 9 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
CORR
2007
Springer
147views Education» more  CORR 2007»
14 years 9 months ago
Decomposition During Search for Propagation-Based Constraint Solvers
Abstract. We describe decomposition during search (DDS), an integration of And/Or tree search into propagation-based constraint solvers. The presented search algorithm dynamically ...
Martin Mann, Guido Tack, Sebastian Will
ACSD
2005
IEEE
90views Hardware» more  ACSD 2005»
15 years 3 months ago
Improved Decomposition of STGs
Signal Transition Graphs (STGs) are a version of Petri nets for the specification of asynchronous circuit behaviour. It has been suggested to decompose such a specification as a...
Walter Vogler, Ben Kangsah
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
15 years 10 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010