1261 search results - page 164 / 253 » Improved learning of Bayesian networks |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
ANNES
1995
13 years 11 months ago
1995
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
ECMDAFA
2009
Springer
13 years 6 months ago
2009
Springer
Domain-specific modeling solutions have been promoted for some time in order to improve the productivity of software developers by providing them with modeling environments that ar...
ESANN
2008
13 years 9 months ago
2008
An initialization mechanism is presented for Kohonen neural network implemented in CMOS technology. Proper selection of initial values of neurons' weights has a large influenc...