Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
Safely updating software at remote sites is a cautious balance of enabling new functionality and avoiding adverse effects on existing functionality. A useful first step in this p...
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
Analysis techniques, such as control-flow, data-flow, and control-dependence, are used for a variety of maintenance tasks, including regression testing, dynamic execution profilin...