Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
The goal of this research is the improvement of browsing voluminous InkML data in two areas: ease of rendering continuous inkflow for replay-browsing, and ease of random access na...
Khaireel A. Mohamed, Lioudmila Belenkaia, Thomas O...
In this paper we describe a practical framework for studying the navigational behavior of the users of an e-learning environment integrated in a virtual campus. The students navig...