In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora...
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
We describe a novel method for efficient reconstruction of phylogenetic trees, based on sequences of whole genomes or proteomes, whose lengths may greatly vary. The core of our me...
David Burstein, Igor Ulitsky, Tamir Tuller, Benny ...
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...