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» Genetic Algorithms for Component Analysis
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AISB
1994
Springer
15 years 3 months ago
Formal Memetic Algorithms
Abstract. A formal, representation-independent form of a memetic algorithm-a genetic algorithm incorporating local search--is introduced. A generalisedform of N-point crossover is ...
Nicholas J. Radcliffe, Patrick D. Surry
ICPR
2004
IEEE
16 years 26 days ago
Classification Probability Analysis of Principal Component Null Space Analysis
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Namrata Vaswani, Rama Chellappa
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 6 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
96
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ICONIP
2007
15 years 1 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
BIOCOMP
2007
15 years 1 months ago
Stability Analysis of Genetic Regulatory Network with Additive Noises
Background: Genetic regulatory networks (GRN) can be described by differential equations with SUM logic which has been found in many natural systems. Identification of the network...
Yufang Jin