409 search results - page 48 / 82 » Evolutionary learning of small networks |
ICML
2005
IEEE
16 years 18 days ago
2005
IEEE
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
COLT
1994
Springer
15 years 3 months ago
1994
Springer
We examine the relationship between the VCdimension and the number of parameters of a smoothly parametrized function class. We show that the VC-dimension of such a function class ...
PAKDD
2000
ACM
15 years 3 months ago
2000
ACM
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
113
click to vote
BIOCOMP
2009
15 years 28 days ago
2009
Modern approaches to treating genetic disorders, cancers and even epidemics rely on a detailed understanding of the underlying gene signaling network. Previous work has used time s...
CN
2007
14 years 11 months ago
2007
There is strong evidence that the current implementation of TCP will perform poorly in future high speed networks. To address this problem many congestion control protocols have b...