593 search results - page 67 / 119 » Dealing with different distributions in learning from |
205
click to vote
CORR
2010
Springer
15 years 4 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
150
click to vote
GECCO
2007
Springer
16 years 14 days ago
2007
Springer
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
162
click to vote
AAAI
2004
15 years 7 months ago
2004
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
150
click to vote
CW
2005
IEEE
15 years 12 months ago
2005
IEEE
Educational Virtual Worlds (EVWs) allow one to circumvent physical, safety, and cost constraints that often affect real-world training and learning scenarios. Virtual humans can i...
182
click to vote
ESANN
2006
15 years 7 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...