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ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
14 years 2 months ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
COLING
2000
13 years 9 months ago
Decision-Tree based Error Correction for Statistical Phrase Break Prediction in Korean
tn this paper, we present a new 1)hrase break prediction architecture that integrates probabilistic apt)roach with decision-tree based error correction. The probabilistic method a...
Byeongchang Kim, Gary Geunbae Lee
JMLR
2002
115views more  JMLR 2002»
13 years 7 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
ICPR
2008
IEEE
14 years 9 months ago
Separability of ternary Error-Correcting Output Codes
Error Correcting Output Codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers. In this paper, we pre...
Oriol Pujol, Petia Radeva, Sergio Escalera
CRV
2007
IEEE
138views Robotics» more  CRV 2007»
14 years 2 months ago
Terrain Modelling for Planetary Exploration
The success of NASA’s Mars Exploration Rovers has demonstrated the important benefits that mobility adds to planetary exploration. Very soon, mission requirements will impose t...
Ioannis M. Rekleitis, Jean-Luc Bedwani, Sebastien ...