6715 search results - page 1215 / 1343 » Learning from a Test Set |
116
Voted
GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
137
click to vote
IPMI
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
118
click to vote
KES
2007
Springer
15 years 10 months ago
2007
Springer
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
167
click to vote
ICANN
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
142
click to vote
ICCBR
2005
Springer
15 years 10 months ago
2005
Springer
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...