The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
In this paper we present algorithms for identifying interesting subsets of a given database of records. In many real life applications, it is important to automatically discover s...
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Internet search companies sell advertisement slots based on users' search queries via an auction. While there has been previous work on the auction process and its game-theor...