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ICML
2005
IEEE
16 years 5 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
ECSQARU
2009
Springer
15 years 11 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
CC
2006
Springer
101views System Software» more  CC 2006»
15 years 8 months ago
SARA: Combining Stack Allocation and Register Allocation
Commonly-used memory units enable a processor to load and store multiple registers in one instruction. We showed in 2003 how to extend gcc with a stack-location-allocation (SLA) ph...
V. Krishna Nandivada, Jens Palsberg
ASPDAC
2008
ACM
122views Hardware» more  ASPDAC 2008»
15 years 6 months ago
Total power optimization combining placement, sizing and multi-Vt through slack distribution management
Power dissipation is quickly becoming one of the most important limiters in nanometer IC design for leakage increases exponentially as the technology scaling down. However, power ...
Tao Luo, David Newmark, David Z. Pan
128
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ECIR
2004
Springer
15 years 6 months ago
Combining CORI and the Decision-Theoretic Approach for Advanced Resource Selection
In this paper we combine two existing resource selection approaches, CORI and the decision-theoretic framework (DTF). The state-of-the-art system CORI belongs to the large group of...
Henrik Nottelmann, Norbert Fuhr