Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
We present an algorithmic framework for learning multiple related tasks. Our framework exploits a form of prior knowledge that relates the output spaces of these tasks. We present...
This paper proposes an efficient, decentralized algorithm for determining the topological relationship between two regions monitored by a geosensor network. Many centralized algo...
Matt Duckham, Myeong Hun Jeong, Sanjiang Li, Joche...
We present a mechanism for recovering consistent data from inconsistent set of assertions. For a common family of knowledge-bases we also provide an efficient algorithm for doing ...
Abstract Rafail Ostrovskyy MIT Laboratory for Computer Science 545 Technology Square, Cambridge, MA 02139 In this paper, we study connections among one-way functions, hard on the ...