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ICANN
2001
Springer
14 years 1 months ago
A Computational Intelligence Approach to Optimization with Unknown Objective Functions
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
Hirotaka Nakayama, Masao Arakawa, Rie Sasaki
CSC
2006
13 years 10 months ago
Biorthogonal Sampling Functions Associated With Meyer Type Wavelets
In this article, we study a class of biorthogonal sampling functions in the context of bandlimited wavelets, Meyer type wavelets. Originally raised in the construction of bandlimi...
Xiaoping Shen
ICML
2009
IEEE
14 years 9 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
CSDA
2006
100views more  CSDA 2006»
13 years 9 months ago
Implementing a class of structural change tests: An econometric computing approach
The implementation of a recently suggested class of structural change tests, which test for parameter instability in general parametric models, in the R language for statistical c...
Achim Zeileis
IH
2009
Springer
14 years 3 months ago
Hardware-Based Public-Key Cryptography with Public Physically Unclonable Functions
Abstract. A physically unclonable function (PUF) is a multiple-input, multipleoutput, large entropy physical system that is unreproducible due to its structural complexity. A publi...
Nathan Beckmann, Miodrag Potkonjak