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» Machine Learning by Function Decomposition
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ALT
2004
Springer
15 years 10 months ago
New Revision Algorithms
A revision algorithm is a learning algorithm that identifies the target concept, starting from an initial concept. Such an algorithm is considered efficient if its complexity (in ...
Judy Goldsmith, Robert H. Sloan, Balázs Sz&...
COLT
2000
Springer
15 years 6 months ago
PAC Analogues of Perceptron and Winnow via Boosting the Margin
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
Rocco A. Servedio
BMCBI
2008
114views more  BMCBI 2008»
15 years 1 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
ECTEL
2007
Springer
15 years 7 months ago
The Development of TE-Cap: An Assistance Environment for Online Tutors
Abstract. Our research is based on the hypothesis that the most important problem that has to be solved, so as to help tutors, is the gap between required competencies of distance ...
Élise Garrot, Sébastien George, Patr...
ICTAI
2006
IEEE
15 years 7 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....