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ATAL
2006
Springer
13 years 11 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 8 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
CCE
2004
13 years 7 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
VMV
2008
116views Visualization» more  VMV 2008»
13 years 9 months ago
Robust Real-Time SFM in a Combined Formulation of Tracking and Reconstruction
Recently it was observed, that a combined formulation of tracking and reconstruction increases the robustness and accuracy of both these steps in structure-from-motion problems [9...
Olaf Kähler, Joachim Denzler
IPPS
1999
IEEE
13 years 11 months ago
A Flexible Clustering and Scheduling Scheme for Efficient Parallel Computation
Clustering and scheduling of tasks for parallel implementation is a well researched problem. Several techniques have been presented in the literature to improve performance and re...
S. Chingchit, Mohan Kumar, Laxmi N. Bhuyan