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STOC
1987
ACM
82views Algorithms» more  STOC 1987»
15 years 10 months ago
Permutation Groups in NC
We show that the basic problems of permutation group manipulation admit e cient parallel solutions. Given a permutation group G by a list of generators, we nd a set of NC-e cient ...
László Babai, Eugene M. Luks, &Aacut...
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
16 years 19 days ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
IJCNN
2008
IEEE
16 years 1 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
AAAI
1994
15 years 8 months ago
An Algorithm for Probabilistic Least-Commitment Planning
We de ne the probabilistic planning problem in terms of a probability distribution over initial world states, a boolean combination of goal propositions, a probability threshold, ...
Nicholas Kushmerick, Steve Hanks, Daniel S. Weld
APPROX
2008
Springer
83views Algorithms» more  APPROX 2008»
15 years 8 months ago
Sampling Hypersurfaces through Diffusion
Abstract. We are interested in efficient algorithms for generating random samples from geometric objects such as Riemannian manifolds. As a step in this direction, we consider the ...
Hariharan Narayanan, Partha Niyogi