704 search results - page 97 / 141 » Improved Learning of AC0 Functions |
146
Voted
JCP
2007
15 years 2 months ago
2007
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
145
Voted
ICTAI
2010
IEEE
15 years 21 days ago
2010
IEEE
This work presents the concept of Continuous Search (CS), which objective is to allow any user to eventually get their constraint solver achieving a top performance on their proble...
140
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
120
Voted
IJCNN
2000
IEEE
15 years 7 months ago
2000
IEEE
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...
147
Voted
COLT
2000
Springer
15 years 7 months ago
2000
Springer
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...