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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 1 months ago
Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation
In order to handle classification problems with real-valued attributes using discretization algorithms it is necessary to obtain a good and reduced set of cut points in order to l...
Jaume Bacardit, Josep Maria Garrell i Guiu
SIGMOD
2007
ACM
196views Database» more  SIGMOD 2007»
14 years 8 months ago
Adaptive location constraint processing
An important problem for many location-based applications is the continuous evaluation of proximity relations among moving objects. These relations express whether a given set of ...
Zhengdao Xu, Hans-Arno Jacobsen
EMMCVPR
1999
Springer
14 years 2 days ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
ISCA
2008
IEEE
137views Hardware» more  ISCA 2008»
14 years 2 months ago
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
Engin Ipek, Onur Mutlu, José F. Martí...
ARCS
2009
Springer
14 years 2 months ago
Empirical Performance Models for Java Workloads
Abstract. Java is widely deployed on a variety of processor architectures. Consequently, an understanding of microarchitecture level Java performance is critical to optimize curren...
Pradeep Rao, Kazuaki Murakami