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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 10 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
RECOMB
2005
Springer
14 years 8 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
CAV
2007
Springer
108views Hardware» more  CAV 2007»
14 years 1 months ago
Systematic Acceleration in Regular Model Checking
Abstract. Regular model checking is a form of symbolic model checking technique for systems whose states can be represented as finite words over a finite alphabet, where regular ...
Bengt Jonsson, Mayank Saksena
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
PLDI
2004
ACM
14 years 1 months ago
Min-cut program decomposition for thread-level speculation
With billion-transistor chips on the horizon, single-chip multiprocessors (CMPs) are likely to become commodity components. Speculative CMPs use hardware to enforce dependence, al...
Troy A. Johnson, Rudolf Eigenmann, T. N. Vijaykuma...