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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 4 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
DAS
2010
Springer
15 years 2 months ago
Improved classification through runoff elections
We consider the problem of dealing with irrelevant votes when a multi-case classifier is built from an ensemble of binary classifiers. We show how run-off elections can be used to...
Oleg Golubitsky, Stephen M. Watt
COGSCI
2004
108views more  COGSCI 2004»
14 years 11 months ago
Making the ineffable explicit: estimating the information employed for face classifications
When we look at a face, we readily perceive that person's gender, expression, identity, age, and attractiveness. Perceivers as well as scientists have hitherto had little suc...
Michael C. Mangini, Irving Biederma
FLAIRS
2009
14 years 9 months ago
Training to a Neural Net's Inherent Bias
A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
IANDC
1998
70views more  IANDC 1998»
14 years 11 months ago
The Generating Power of Total Deterministic Tree Transducers
ed tree transducers are abstract models used to study properties bute grammars. One abstraction which occurs when modeling attribute grammars by attributed tree transducers is that...
Sebastian Maneth