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» A Probabilistic Applied Pi-Calculus
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SIGIR
2008
ACM
13 years 9 months ago
Learning from labeled features using generalized expectation criteria
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...
Gregory Druck, Gideon S. Mann, Andrew McCallum
JCB
2000
146views more  JCB 2000»
13 years 8 months ago
Bayesian Segmentation of Protein Secondary Structure
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
AAAI
2010
13 years 8 months ago
A Trust Model for Supply Chain Management
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...
Yasaman Haghpanah, Marie desJardins
ICCAD
2003
IEEE
124views Hardware» more  ICCAD 2003»
14 years 5 months ago
Gradual Relaxation Techniques with Applications to Behavioral Synthesis
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 ...
LADC
2007
Springer
14 years 3 months ago
Gossiping: Adaptive and Reliable Broadcasting in MANETs
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...
Abdelmajid Khelil, Neeraj Suri