We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental m...
Query result caching is an important mechanism for search engine efficiency. In this study, we first review several query features that are used to determine the contents of a sta...
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
We describe recent work on PECAS, an architecture for intelligent robotics that supports multi-modal interaction. Categories and Subject Descriptors I.2.8 [Computing Methodologies...