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A Striking Property of Genetic Code-Like Transformations (1999)  (Make Corrections)  (6 citations)
Hillol Kargupta
Department of Electrical Engineering and Computer Science, Washington State University.



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Abstract: The gene expression process in... This paper shows that genetic code-like transformations introduce very interesting properties to the representation of a genetic fitness function. It presents a Fourier analysis of genetic code-like transformations. It points out that such transformations can convert some function representations of exponential description in Fourier basis to a description that is highly suitable for polynomial complexity approximation. More precisely, such transformations can... (Update)

Context of citations to this paper:   More

...operators) Some examples of approaches to studying genotype to phenotype transformations include the following. Kargupta and Park [20, 21] examine transformations of a fitness function into Fourier space as a way distributing fitness evaluation and show that for a given...

...acid for every three consecutive nucleic acids in the mRNA. This paper investigates the role of genetic code like transformations (GCTs) [25, 31] in learning nonlinear functions from data. It considers the problem of learning a function from a given training data set with...

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4:   The gene expression messy genetic algorithm - Kargupta - 1996
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BibTeX entry:   (Update)

Kargupta, H. \A striking property of genetic code-like transformations ", Technical Report EECS-99-004, Department of Electrical Engineering and Computer Science, Washington State University, (1999). http://citeseer.ist.psu.edu/kargupta99striking.html   More

@techreport{ kargupta99striking,
  author = "H. Kargupta",
  title = "A striking property of genetic code-like transformations",
  number = "{EECS}-99-004",
  institution = "Department of Electrical Engineering and
    Computer Science, Washington State University.",
  year = "1999",
  url = "citeseer.ist.psu.edu/kargupta99striking.html" }
Citations (may not include all citations):
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129   Messy genetic algorithms: Motivation (context) - Goldberg, Korb et al. - 1989
96   Learning decision trees using fourier spectrum - Kushilevitz, Mansour - 1991
67   Genetic algorithms and Walsh functions: Part (context) - Goldberg - 1989
61   Genetic algorithms and Walsh functions: Part II (context) - Goldberg - 1989
48   The gene expression messy genetic algorithm - Kargupta - 1996
38   Simulation of genetic populations with biochemical propertie.. (context) - Rosenberg - 1967
35   Genetic Algorithms for Function Optimization (context) - Brindle - 1981
34   Applications of Walsh and Related Functions (context) - Beauchamp - 1984
27   The behavior of adaptive systems which employ genetic and co.. (context) - Bagley - 1967
22   The simple genetic algorithm and the Walsh transform: Part I.. - Vose, Wright - 1998
22   The simple genetic algorithm and the Walsh transform: Part - Vose, Wright - 1998
20   Genetic regulatory mechanisms in the synthesis of proteins (context) - Jacob, Monod - 1961
15   The Harmonic Sieve: A Novel Application of Fourier Analysis .. (context) - Jackson - 1995
14   The performance of genetic algorithms on Walsh polynomials: .. (context) - Forrest, Mitchell - 1991
12   Comparison of genetic algorithms and gradient-based optimize.. (context) - Bethke - 1976
12   Gene Expression: The missing link of evolutionary computatio.. (context) - Kargupta - 1997
10   Designing neural networks using the structured genetic algor.. (context) - Dasgupta, McGregor - 1992
10   A tractable Walsh analysis of SAT and its implications for g.. - Rana, Heckendorn et al. - 1998
10   The role of neutral mutations in the evolution of rna molecu.. (context) - Schuster - 1997
9   Walsh function analysis of genetic algorithms of nonbinary s.. (context) - Oei - 1992
9   Scalability problems of simple genetic algorithms - Thierens - 1999
8   A perspective on the foundation and evolution of the linkage.. - Kargupta, Bandyopadhyay - 2000
7   A closed set of orthogonal functions (context) - Walsh - 1923
7   a and K. Sarkar. Function induction, gene expression, and ev.. (context) - Kargupt - 1999
7   Predicting epistasis from mathematical models (context) - Heckendorn, Whitley - 1999
7   Evolution of random structures - Reidys, Fraser - 1996
7   An investigation of diploid genetic algorithms for adaptive .. (context) - Smith - 1988
6   Extending the class of order-k delineable problems for the g.. - Kargupta, Goldberg et al. - 1997
6   Articial genetic adaptation in computer control systems (context) - Hollstien - 1971
6   and deceptiveness in genetic algorithms (context) - Liepins, Vose et al. - 1991
6   The evolution of genetic code in genetic programming - Keller, Banzhaf - 1999
6   From DNA to protein: Transformations and their possible role.. - Kargupta, Sta - 1997
6   Gene expression and large scale evolutionary optimization (context) - Kargupta - 1998
5   Further experimentations on the scalability of the GEMGA - Kargupta, Bandyopadhyay - 1998
4   A supersymmetric model for the evolution of the genetic code - Bashford, Tsohantjis et al. - 1998
4   Fast construction of distributed and decomposed evolutionary.. (context) - Kargupta, Park - 1999
4   Estimating the signicant non-linearities in the genome probl.. (context) - Thierens - 1999
4   and preliminary development of the gene expression messy gen.. (context) - Kargupta, computational et al. - 1997
4   The origin and evolution of the genetic code (context) - Beland, Allen - 1994
3   Evolution of genetic information ow from the viewpoint of pr.. (context) - Fukuchi, Okayama et al. - 1994
2   Fast Fourier transform for tnes landscapes (context) - Rockmore, Kostelec et al. - 1999



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://www.csee.umbc.edu/~hillol/pubs.html):   More
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A Resampling Technique for Learning the Fourier Spectrum of .. - Ayyagari, Kargupta   (Correct)

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