60 search results - page 5 / 12 » An Optimal Parallel Algorithm for Learning DFA |
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...
EGC
2005
Springer
13 years 11 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...