In this paper, we examine on-line learning problems in which the target concept is allowed to change over time. In each trial a master algorithm receives predictions from a large ...
: In a relatively short period of time, educational technology has become a basic component of the instructional life of almost every College or University around the world. The wa...
Lawrence M. Baldwin, Panagiotis Takis Metaxas, Win...
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
We analyze collaborative play in an online video game, World of Warcraft, the most popular personal computer game in the United States, with significant markets in Asia and Europe...
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...