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ICANN
2007
Springer
14 years 4 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
ICONIP
2010
13 years 8 months ago
Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control
Abstract. In this paper, we propose a novel approach for adaptive control of robotic manipulators. Our approach uses a representation of inverse dynamics models learned from a vari...
Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu...
CORR
2006
Springer
91views Education» more  CORR 2006»
13 years 9 months ago
Universal Codes as a Basis for Time Series Testing
We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, ba...
Boris Ryabko, Jaakko Astola
LRE
2008
110views more  LRE 2008»
13 years 9 months ago
Automatic building of an ontology on the basis of text corpora in Thai
This paper presents a methodology for automatic learning of ontologies from Thai text corpora, by extraction of terms and relations. A shallow parser is used to chunk texts on whic...
Aurawan Imsombut, Asanee Kawtrakul
ICASSP
2011
IEEE
13 years 1 months ago
Efficiency evaluation and orthogonal basis determination in functional HRTF modeling
This paper consider the problem of how to evaluate the efficiency of a 3D continuous functional HRTF model in representing measured data. The proposed method is based on Karhunen...
Mengqiu Zhang, Rodney A. Kennedy, Thushara D. Abha...