1261 search results - page 164 / 253 » Improved learning of Bayesian networks |
135
Voted
GECCO
2006
Springer
15 years 7 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...
161
Voted
ICCV
2011
IEEE
14 years 3 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...
184
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ANNES
1995
15 years 7 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...
118
Voted
ECMDAFA
2009
Springer
15 years 1 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...
110
Voted
ESANN
2008
15 years 5 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...