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122
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ICML
2009
IEEE
16 years 1 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
99
Voted
ICML
2004
IEEE
16 years 1 months ago
Learning with non-positive kernels
In this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that is, kernels which are not positive semidefinite. They do not satisfy Mercer...
Alexander J. Smola, Cheng Soon Ong, Stéphan...
98
Voted
ICSE
2009
IEEE-ACM
16 years 1 months ago
Automatically finding patches using genetic programming
Automatic repair of programs has been a longstanding goal in software engineering, yet debugging remains a largely manual process. We introduce a fully automated method for locati...
Westley Weimer, ThanhVu Nguyen, Claire Le Goues, S...
100
Voted
VLSID
2009
IEEE
139views VLSI» more  VLSID 2009»
16 years 1 months ago
Improving Scalability and Per-Core Performance in Multi-Cores through Resource Sharing and Reconfiguration
Increasing the number of cores in a multi-core processor reduces per-core performance. On the other hand, providing more resources to each core limits the number of cores on a chi...
Tameesh Suri, Aneesh Aggarwal
126
Voted
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 1 months ago
On updates that constrain the features' connections during learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Jian Huang 0002