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» Dynamic power management using machine learning
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124
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ICML
1994
IEEE
15 years 7 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
135
Voted
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 4 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
143
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CIKM
2004
Springer
15 years 7 months ago
Taxonomy-driven computation of product recommendations
Recommender systems have been subject to an enormous rise in popularity and research interest over the last ten years. At the same time, very large taxonomies for product classifi...
Cai-Nicolas Ziegler, Georg Lausen, Lars Schmidt-Th...
127
Voted
DATE
2006
IEEE
132views Hardware» more  DATE 2006»
15 years 9 months ago
Energy reduction by workload adaptation in a multi-process environment
Reducing energy consumption is an important issue in modern computers. Dynamic power management (DPM) has been extensively studied in recent years. One approach for DPM is to adju...
Changjiu Xian, Yung-Hsiang Lu
117
Voted
CIKM
1999
Springer
15 years 8 months ago
Training a Selection Function for Extraction
In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence ...
Chin-Yew Lin