This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Social awareness is essential for effective learning. However, natural environments do not always provide optimal support for it. We analyze the potentials of Collaborative Virtua...
—Any system which must learn to perform a large number of behavioral features with limited information handling resources will tend to be constrained within a set of architectura...