This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
Tarragon Consulting Corporation participated in the adhoc retrieval task of the TREC 2004 Genomics Track. We used a standard deployment of the K2 search engine from Verity, Inc. i...
—In this paper we consider the Airspace Sectorization Problem (ASP) where airspace has to be partitioned into a number of sectors, each sector being assigned to a team of air tra...
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...