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JMLR
2006
99views more  JMLR 2006»
15 years 4 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
PAMI
2008
119views more  PAMI 2008»
15 years 4 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
GPEM
2000
121views more  GPEM 2000»
15 years 4 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
155
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INFORMATICALT
2002
116views more  INFORMATICALT 2002»
15 years 4 months ago
On the Optimization of an Adaptive State Estimation of Dynamic Systems in the Presence of Time-varying Outliers
The problem of recursive estimation of a state of dynamic systems in the presence of time-varying outliers in observations to be processed has been considered. A learning phase use...
Rimantas Pupeikis
JVCA
2002
157views more  JVCA 2002»
15 years 4 months ago
Realistic face animation for speech
We propose an efficient system for realistic speech animation. The system supports all steps of the animation pipeline, from the capture or design of 3D head models up to the synth...
Gregor A. Kalberer, Luc J. Van Gool