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JMLR
2008
114views more  JMLR 2008»
15 years 7 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
ACL
2009
15 years 5 months ago
Variational Decoding for Statistical Machine Translation
Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
Zhifei Li, Jason Eisner, Sanjeev Khudanpur
ICASSP
2011
IEEE
14 years 11 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
AUTOMATICA
2002
83views more  AUTOMATICA 2002»
15 years 7 months ago
A time aggregation approach to Markov decision processes
We propose a time aggregation approach for the solution of in
Xi-Ren Cao, Zhiyuan Ren, Shalabh Bhatnagar, Michae...
ICALP
1997
Springer
15 years 11 months ago
Discrete-Time Control for Rectangular Hybrid Automata
Rectangular hybrid automatamodel digital control programs of analog plant environments. We study rectangular hybrid automatawhere the plant state evolves continuously in real-numbe...
Thomas A. Henzinger, Peter W. Kopke