It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag
hey generalize these factors to the abstract concepts of ability, integrity, and benevolence. This model does not use probabilistic decision theory. Other SCM trust factors have be...
Heuristics are widely used for solving computational intractable synthesis problems. However, until now, there has been limited effort to systematically develop heuristics that ca...
Zhiru Zhang, Yiping Fan, Miodrag Potkonjak, Jason ...
Given the frequent topology changes in Mobile Ad Hoc Networks (MANET), the choice of appropriate broadcasting techniques is crucial to ensure reliable delivery of messages. The spr...