This paper introduces a foundation for inductive learning based on the use of higher-order logic for knowledge representation. In particular, the paper (i) provides a systematic i...
Antony F. Bowers, Christophe G. Giraud-Carrier, Jo...
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
We present the design of Plurality,1 an interactive tagging system. Plurality's modular architecture allows users to automatically generate high-quality tags over Web content...
In this paper we present the design of a cost-effective wearable sensor to detect and indicate the strength and other characteristics of the electric field emanating from a laptop...