We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome...
: The paper presents different possibilities for implementing a virtual guide, able to assist the user in visiting a web site. The user should be able to navigate around, while the...
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
We present an efficientmulti-levelchart parser that was designed forsyntacticanalysisofclosedcaptions (subtitles) in a real-time Machine Translation (MT) system. In order to achie...