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APIN
2004
116views more  APIN 2004»
15 years 6 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
AROBOTS
2002
131views more  AROBOTS 2002»
15 years 6 months ago
Automated Derivation of Primitives for Movement Classification
Abstract. We describe a new method for representing human movement compactly, in terms of a linear superimposition of simpler movements termed primitives. This method is a part of ...
Ajo Fod, Maja J. Mataric, Odest Chadwicke Jenkins
BMCBI
2004
114views more  BMCBI 2004»
15 years 6 months ago
Extending the mutual information measure to rank inferred literature relationships
Background: Within the peer-reviewed literature, associations between two things are not always recognized until commonalities between them become apparent. These commonalities ca...
Jonathan D. Wren
COGSCI
2004
142views more  COGSCI 2004»
15 years 6 months ago
Characterizing perceptual learning with external noise
Performance in perceptual tasks often improves with practice. This effect is known as `perceptual learning,' and it has been the source of a great deal of interest and debate...
Jason M. Gold, Allison B. Sekuler, Partrick J. Ben...
ENTCS
2002
84views more  ENTCS 2002»
15 years 6 months ago
Programming Autonomous Robots in Curry
In this paper we present a framework to program autonomous robots in the declarative multi-paradigm language Curry. This is an experiment to use high-level declarative programming...
Michael Hanus, Klaus Höppner
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