591 search results - page 67 / 119 » Learning and optimization using the clonal selection princip... |
130
click to vote
JMLR
2006
15 years 3 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
134
click to vote
ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
129
click to vote
ESSMAC
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
143
click to vote
GECCO
2009
Springer
15 years 8 months ago
2009
Springer
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
110
click to vote
NAACL
2003
15 years 5 months ago
2003
We present a simple method for language independent and task independent text categorization learning, based on character-level n-gram language models. Our approach uses simple in...