869 search results - page 169 / 174 » An Effective Learning Method for Max-Min Neural Networks |
98
Voted
AAAI
2011
13 years 11 months ago
2011
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
INFORMS
1998
14 years 11 months ago
1998
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
95
Voted
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
94
Voted
BMCBI
2010
14 years 11 months ago
2010
Background: Sequence comparisons make use of a one-letter representation for amino acids, the necessary quantitative information being supplied by the substitution matrices. This ...
127
Voted
BMCBI
2010
14 years 11 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...