The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
A critical problem in implementing interactive perception applications is the considerable computational cost of current computer vision and machine learning algorithms, which typ...
Padmanabhan Pillai, Lily B. Mummert, Steven W. Sch...
Two operations commute if executing them serially in either order results in the same change of state. In a system in which commands may be issued simultaneously by different use...
Greg Dennis, Robert Seater, Derek Rayside, Daniel ...
We present a novel approach to developing interfaces for multi-application dialogue systems. The targeted interfaces allow transparent switching between a large number of applicati...
Trung H. Bui, Job Zwiers, Anton Nijholt, Mannes Po...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...