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...
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...
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
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...
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 ...