Most enterprise data is distributed in multiple relational databases with expert-designed schema. Using traditional single-table machine learning techniques over such data not onl...
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitar...
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
The World Wide Web is a vast resource for information. At the same time it is extremely distributed. A particular type of data such as restaurant lists maybe scattered across thous...
Abstract. We describe a new method for the exploration of evolutionary relations between protein structures. The approach is based on the ESSM algorithm for detecting structural mu...
A modular parallel distributed processing architecture for parsing, representing and paraphrasing sentences with multiple hierarchical relative clauses is presented. A lowel-level...