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DCC
2009
IEEE
14 years 8 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
ATAL
2010
Springer
13 years 9 months ago
Planning against fictitious players in repeated normal form games
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
Enrique Munoz de Cote, Nicholas R. Jennings
APCSAC
2007
IEEE
14 years 2 months ago
Runtime Performance Projection Model for Dynamic Power Management
In this paper, a runtime performance projection model for dynamic power management is proposed. The model is built as a first-order linear equation using a linear regression model....
Sang Jeong Lee, Hae-Kag Lee, Pen-Chung Yew
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
14 years 1 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
ISLPED
2003
ACM
129views Hardware» more  ISLPED 2003»
14 years 1 months ago
A critical analysis of application-adaptive multiple clock processors
Enabled by the continuous advancement in fabrication technology, present day synchronous microprocessors include more than 100 million transistors and have clock speeds well in ex...
Emil Talpes, Diana Marculescu