We describe and analyze efficient algorithms for learning a linear predictor from examples when the learner can only view a few attributes of each training example. This is the ca...
Advances in interactive systems and the ability to manage increasing amounts of high-dimensional data provide new opportunities in numerous domains. Information visualization tech...
Conventional algorithms for decision tree induction use an attribute-value representation scheme for instances. This paper explores the empirical consequences of using set-valued ...
Coping with Information Overload is a major challenge of the 21st century. Huge volumes and varieties of multilingual data must be processed to extract salient information. Previo...
Allen L. Gorin, Carey E. Priebe, John Grothendieck
Abstract. So far only few performance studies on parallel object-relational database systems are available. In particular, the relative performance of relational vs. reference-base...