311 search results - page 18 / 63 » Improving the performance of evolutionary algorithms for dec... |
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
EXPERT
1998
13 years 8 months ago
1998
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
AIME
1997
Springer
14 years 26 days ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
BMCBI
2008
13 years 8 months ago
2008
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...