An algorithm is proposed to prune the prototype vectors (prototype selection) used in a nearest neighbor classifier so that a compact classifier can be obtained with similar or ev...
Many archives have introduced online archival databases in the past few years. However, apart from being independent of place and time, hardly any of these databases make finding ...
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...
J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff...
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
We have implenlented a.n interactive, Wel)-based, chat-style machine translation system, SUpl)ort;ing speech recognition and synthesis, local- or thirdparty correction of speech r...