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» Making inferences with small numbers of training sets
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CORR
2002
Springer
99views Education» more  CORR 2002»
14 years 11 months ago
The Identification of Context-Sensitive Features: A Formal Definition of Context for Concept Learning
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
Peter D. Turney
AI
1998
Springer
15 years 4 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
78
Voted
BMCBI
2010
110views more  BMCBI 2010»
14 years 12 months ago
MultiRTA: A simple yet reliable method for predicting peptide binding affinities for multiple class II MHC allotypes
Background: The binding of peptide fragments of antigens to class II MHC is a crucial step in initiating a helper T cell immune response. The identification of such peptide epitop...
Andrew J. Bordner, Hans D. Mittelmann
TNN
1998
125views more  TNN 1998»
14 years 11 months ago
Symbolic connectionism in natural language disambiguation
Abstract—Natural language understanding involves the simultaneous consideration of a large number of different sources of information. Traditional methods employed in language an...
Samuel W. K. Chan, James Franklin
FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
15 years 6 months ago
Regularized active shape model for shape alignment
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li