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ECCC
2006
97views more  ECCC 2006»
13 years 7 months ago
Cryptographic Hardness Results for Learning Intersections of Halfspaces
We give the first representation-independent hardness results for PAC learning intersections of halfspaces, a central concept class in computational learning theory. Our hardness ...
Adam R. Klivans, Alexander A. Sherstov
COLT
2001
Springer
14 years 4 hour ago
Smooth Boosting and Learning with Malicious Noise
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...
Rocco A. Servedio
ECML
2006
Springer
13 years 11 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
AI
2002
Springer
13 years 7 months ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth
PACS
2000
Springer
110views Hardware» more  PACS 2000»
13 years 11 months ago
Compiler-Directed Dynamic Frequency and Voltage Scheduling
Dynamic voltage and frequency scaling has been identified as one of the most effective ways to reduce power dissipation. This paper discusses a compilation strategy that identifies...
Chung-Hsing Hsu, Ulrich Kremer, Michael S. Hsiao