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PRICAI
2000
Springer
15 years 9 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»
16 years 6 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»
15 years 5 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 11 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»
16 years 7 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