Private information about individuals that engage in e-commerce business transactions is of economic value to businesses for market analysis and for identifying possible future par...
We propose to extend the ontology of logical AI to include approximate objects, approximate predicates and approximate theories. Besides the ontology we treat the relations among ...
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
We consider the in-network computation of approximate “big picture” summaries in bandwidth-constrained sensor networks. First we review early work on computing the Haar wavele...
Existing technologies for file sharing differ widely in the granularity of control they give users over who can access their data; achieving finer-grained control generally requ...