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» Approximate algorithms for neural-Bayesian approaches
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BMCBI
2006
125views more  BMCBI 2006»
14 years 9 months ago
Automated functional classification of experimental and predicted protein structures
Background: Proteins that are similar in sequence or structure may perform different functions in nature. In such cases, function cannot be inferred from sequence or structural si...
Kai Wang, Ram Samudrala
CGF
2006
126views more  CGF 2006»
14 years 9 months ago
Soft Shadow Maps: Efficient Sampling of Light Source Visibility
Shadows, particularly soft shadows, play an important role in the visual perception of a scene by providing visual cues about the shape and position of objects. Several recent alg...
Lionel Atty, Nicolas Holzschuch, Marc Lapierre, Je...
ICDE
2011
IEEE
194views Database» more  ICDE 2011»
14 years 1 months ago
Representative skylines using threshold-based preference distributions
— The study of skylines and their variants has received considerable attention in recent years. Skylines are essentially sets of most interesting (undominated) tuples in a databa...
Atish Das Sarma, Ashwin Lall, Danupon Nanongkai, R...
POPL
2011
ACM
14 years 16 days ago
Dynamic inference of static types for ruby
There have been several efforts to bring static type inference to object-oriented dynamic languages such as Ruby, Python, and Perl. In our experience, however, such type inference...
Jong-hoon (David) An, Avik Chaudhuri, Jeffrey S. F...
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
14 years 8 months ago
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
Salvatore Candido, James C. Davidson, Seth Hutchin...