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» Multiple regression with fuzzy data
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GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
14 years 3 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
PAMI
2010
132views more  PAMI 2010»
13 years 8 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
ICML
2005
IEEE
14 years 10 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
DCOSS
2008
Springer
13 years 11 months ago
Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks
Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an act...
Mihai Marin-Perianu, Clemens Lombriser, Oliver Amf...
IJIT
2004
13 years 11 months ago
A Fuzzy Classifier with Evolutionary Design of Ellipsoidal Decision Regions
A fuzzy classifier using multiple ellipsoids approximating decision regions for classification is to be designed in this paper. An algorithm called Gustafson-Kessel algorithm (GKA)...
Leehter Yao, Kuei-Song Weng, Cherng-Dir Huang