Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
Design patterns are recognized, named solutions to common design problems. The use of the most commonly referenced design patterns should promote adaptable and reusable program co...
James M. Bieman, Greg Straw, Huxia Wang, P. Willar...
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitive...
Dawei Song, Peter Bruza, Zi Huang, Raymond Y. K. L...