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» Choosing Multiple Parameters for Support Vector Machines
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NPL
2006
137views more  NPL 2006»
13 years 7 months ago
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Chih-Ming Chen, Yung-Feng Lu, Chin-Ming Hong
IJCNN
2008
IEEE
14 years 2 months ago
Robust modular ARTMAP for multi-class shape recognition
— This paper presents a Fuzzy ARTMAP (FAM) based modular architecture for multi-class pattern recognition known as Modular Adaptive Resonance Theory Map (MARTMAP). The prediction...
Chue Poh Tan, Chen Change Loy, Weng-Kin Lai, Chee ...
ECML
2005
Springer
14 years 1 months ago
Multi-view Discriminative Sequential Learning
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
Ulf Brefeld, Christoph Büscher, Tobias Scheff...
ICRA
2003
IEEE
123views Robotics» more  ICRA 2003»
14 years 1 months ago
Autonomous reactive control for simulated humanoids
— We present a framework for composing motor controllers into autonomous composite reactive behaviors for bipedal robots and autonomous, physically-simulated humanoids. A key con...
Petros Faloutsos, Michiel van de Panne, Demetri Te...
NLPRS
2001
Springer
14 years 10 days ago
Ensembling based on Feature Space Restructuring with Application to WSD
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru...