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» A Bayesian Approach to Tackling Hard Computational Problems
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BIRTHDAY
2004
Springer
14 years 4 months ago
Engineers Don't Search
Abstract. This paper is on the automation of knowledge-intensive tasks in engineering domains; here, the term “task” relates to analysis and synthesis tasks, such as diagnosis ...
Benno Stein
P2P
2008
IEEE
14 years 5 months ago
Peer-to-Peer Secure Multi-party Numerical Computation
We propose an efficient framework for enabling secure multi-party numerical computations in a Peer-to-Peer network. This problem arises in a range of applications such as collabo...
Danny Bickson, Danny Dolev, Genia Bezman, Benny Pi...
POPL
2009
ACM
14 years 5 months ago
Low-pain, high-gain multicore programming in Haskell: coordinating irregular symbolic computations on multicore architectures
With the emergence of commodity multicore architectures, exploiting tightly-coupled parallelism has become increasingly important. Functional programming languages, such as Haskel...
Abdallah Al Zain, Kevin Hammond, Jost Berthold, Ph...
PR
2006
117views more  PR 2006»
13 years 10 months ago
On transforming statistical models for non-frontal face verification
: We address the pose mismatch problem which can occur in face verification systems that have only a single (frontal) face image available for training. In the framework of a Bayes...
Conrad Sanderson, Samy Bengio, Yongsheng Gao
ECAI
2004
Springer
14 years 4 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...