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GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
14 years 2 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
SSDBM
2007
IEEE
124views Database» more  SSDBM 2007»
14 years 5 months ago
Incorporating Uncertainty Metrics into a General-Purpose Data Integration System
There is a significant need for data integration capabilities in the scientific domain, which has manifested itself as products in the commercial world as well as academia. Howeve...
Brenton Louie, Landon Detwiler, Nilesh N. Dalvi, R...
PAMI
2011
13 years 5 months ago
Approximately Global Optimization for Robust Alignment of Generalized Shapes
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
Hongsheng Li, Tian Shen, Xiaolei Huang
AI
1998
Springer
14 years 3 months ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone
ICML
2004
IEEE
14 years 11 months ago
Leveraging the margin more carefully
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
Nir Krause, Yoram Singer