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COLT
2004
Springer
14 years 1 months ago
Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
Peter L. Bartlett, Ambuj Tewari
CPE
1998
Springer
80views Hardware» more  CPE 1998»
14 years 3 days ago
Probability, Parallelism and the State Space Exploration Problem
We present a new dynamic probabilistic state exploration algorithm based on hash compaction. Our method has a low state omission probability and low memory usage that is independen...
William J. Knottenbelt, Mark Mestern, Peter G. Har...
ICML
2010
IEEE
13 years 9 months ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping
AUTOMATICA
2006
120views more  AUTOMATICA 2006»
13 years 8 months ago
Transition probability bounds for the stochastic stability robustness of continuous- and discrete-time Markovian jump linear sys
This paper considers the robustness of stochastic stability of Markovian jump linear systems in continuous- and discrete-time with respect to their transition rates and probabilit...
Mehmet Karan, Peng Shi, C. Yalçin Kaya
CORR
2004
Springer
125views Education» more  CORR 2004»
13 years 7 months ago
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
Peter D. Turney