13 search results - page 2 / 3 » Bounds for the computational power and learning complexity o... |
COLT
2006
Springer
13 years 8 months ago
2006
Springer
We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...
UC
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Dynamical structure in the brain promotes biological function. Natural scientists look for correlations between measured electrical signals and behavior or mental states....
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
13 years 9 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...