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CP
2006
Springer
14 years 1 days ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
FSTTCS
2006
Springer
13 years 12 months ago
Normal and Feature Approximations from Noisy Point Clouds
We consider the problem of approximating normal and feature sizes of a surface from point cloud data that may be noisy. These problems are central to many applications dealing wit...
Tamal K. Dey, Jian Sun
IPPS
1998
IEEE
13 years 12 months ago
Airshed Pollution Modeling: A Case Study in Application Development in an HPF Environment
In this paper, we describe our experience with developing Airshed, a large pollution modeling application, in the Fx programming environment. We demonstrate that high level parall...
Jaspal Subhlok, Peter Steenkiste, James M. Stichno...
COLT
1995
Springer
13 years 12 months ago
On the Learnability and Usage of Acyclic Probabilistic Finite Automata
We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characterized by a certain distinguishabi...
Dana Ron, Yoram Singer, Naftali Tishby
ASM
2010
ASM
13 years 11 months ago
Starting B Specifications from Use Cases
The B method is one of the most used formal methods, when reactive systems is under question, due to good support for refinement. However, obtaining the formal model from requireme...
Thiago C. de Sousa, Aryldo G. Russo