A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
With the amount of unsolicited emails on the rise, domain authentication schemes have been widely deployed to identify senders. Establishing a sender's identity does not guar...
: Networks and distributed computing systems are becoming increasingly important and at the same time, more and more critical to the world of Information Technology. This rash spre...
Selecting a set of good and diverse base classifiers is essential for building multiple classifier systems. However, almost all commonly used procedures for selecting such base cla...