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DATE
2004
IEEE
108views Hardware» more  DATE 2004»
15 years 10 months ago
Poor Man's TBR: A Simple Model Reduction Scheme
This paper presents a model reduction algorithm motivated by a connection between frequency domain projection methods and approximation of truncated balanced realizations. The met...
Joel R. Phillips, Luis Miguel Silveira
MCS
2000
Springer
15 years 10 months ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich
EUSFLAT
2007
134views Fuzzy Logic» more  EUSFLAT 2007»
15 years 8 months ago
Selection of Optimal Set of Diagnostic Tests with Use of Evolutionary Approach in Intelligent Systems
This paper concerns problem of selection of optimal subset of irredundant unconditional diagnostic tests by means of evolutionary approach. The method of correction of features’...
A. E. Yankovskaya, Y. R. Tsoy
ICONIP
2008
15 years 8 months ago
On Node-Fault-Injection Training of an RBF Network
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
John Sum, Chi-Sing Leung, Kevin Ho
JFPLC
2001
15 years 8 months ago
Recherche adaptative et contraintes musicales
We propose an environment for musical constraint solving, in the visual programming language OpenMusic. We describe an implementation of a local search algorithm, called adaptive s...
Charlotte Truchet, Carlos Agon, Gérard Assa...