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» A distributed machine learning framework
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WWW
2010
ACM
15 years 28 days ago
Classification-enhanced ranking
Many have speculated that classifying web pages can improve a search engine's ranking of results. Intuitively results should be more relevant when they match the class of a q...
Paul N. Bennett, Krysta Marie Svore, Susan T. Duma...
110
Voted
JAIR
2006
110views more  JAIR 2006»
15 years 21 days ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
105
Voted
AOSD
2006
ACM
15 years 4 months ago
Reflections on aspects and configurable protocols
The goals of aspect oriented software development (AOSD) and frameworks for configurable protocols (CPs) are similar in many respects. AOSD allows the specification of crosscuttin...
Matti A. Hiltunen, François Taïani, Ri...
105
Voted
KDD
2007
ACM
142views Data Mining» more  KDD 2007»
16 years 1 months ago
Towards Privacy-Preserving Model Selection
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
95
Voted
HPCA
2008
IEEE
16 years 1 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks