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NIPS
2007
15 years 3 months ago
Convex Learning with Invariances
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex...
FLAIRS
2006
15 years 3 months ago
Analysis of Galactic Spectra using Noise-Aware Learning Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante, Olac Fuentes
EUSFLAT
2003
109views Fuzzy Logic» more  EUSFLAT 2003»
15 years 3 months ago
Diagnosis of dermatological diseases by a neuro-fuzzy system
In this paper we present the application of a particular neuro-fuzzy system, named KERNEL, to the problem of differential diagnosis of erythematosquamous diseases, which represen...
Giovanna Castellano, Ciro Castiello, Anna Maria Fa...
INTEGRATION
2010
172views more  INTEGRATION 2010»
15 years 11 days ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta
EVOW
2012
Springer
13 years 9 months ago
HyFlex: A Benchmark Framework for Cross-Domain Heuristic Search
This paper presents HyFlex, a software framework for the development of cross-domain search methodologies. The framework features a common software interface for dealing with diff...
Gabriela Ochoa, Matthew R. Hyde, Timothy Curtois, ...