We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
Previous research on program visualization tools has suggested that both static and dynamic aspects of the program shall be shown to novice students. We attempted to expand the st...
Based on our findings from an ongoing pilot with shared computers in rural primary schools in Uttar Pradesh, India since 2001 and two follow-up field studies in the same schools i...
Matthew Kam, Divya Ramachandran, Urvashi Sahni, Jo...
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
In this paper, we describe a method to enhance the readability of out-of-vocabulary items (OOVs) in the textual output in a large vocabulary continuous speech recognition system. ...
Bart Decadt, Jacques Duchateau, Walter Daelemans, ...