Sciweavers

1888 search results - page 100 / 378
» The Learning Power of Evolution
Sort
View
TNN
1998
111views more  TNN 1998»
15 years 3 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
COLT
2003
Springer
15 years 9 months ago
Learning All Subfunctions of a Function
Sublearning, a model for learning of subconcepts of a concept, is presented. Sublearning a class of total recursive functions informally means to learn all functions from that cla...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen
CCS
2008
ACM
15 years 5 months ago
Open problems in the security of learning
Machine learning has become a valuable tool for detecting and preventing malicious activity. However, as more applications employ machine learning techniques in adversarial decisi...
Marco Barreno, Peter L. Bartlett, Fuching Jack Chi...
112
Voted
COLT
1992
Springer
15 years 7 months ago
On Learning Limiting Programs
Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is studied. Learning of iterated lim...
John Case, Sanjay Jain, Arun Sharma
139
Voted
AI
2007
Springer
15 years 3 months ago
What evolutionary game theory tells us about multiagent learning
This paper discusses If multi-agent learning is the answer, what is the question? [Y. Shoham, R. Powers, T. Grenager, If multiagent learning is the answer, what is the question? A...
Karl Tuyls, Simon Parsons