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» Breeding Decision Trees Using Evolutionary Techniques
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ISMB
1993
14 years 11 months ago
Knowledge Discovery in GENBANK
Wedescribe various methods designed to discover knowledge in the GenBanknucleic acid sequence database. Using a grammatical model of gene structure, we create a parse tree of a ge...
Jeffery S. Aaronson, Juergen Haas, G. Christian Ov...
78
Voted
DMIN
2006
115views Data Mining» more  DMIN 2006»
14 years 11 months ago
Data Mining Techniques to Study Therapy Success with Autistic Children
Autism spectrum disorder has become one of the most prevalent developmental disorders, characterized by a wide variety of symptoms. Many children need extensive therapy for years t...
Gondy Leroy, Annika Irmscher, Marjorie H. Charlop-...
89
Voted
SAC
2004
ACM
15 years 3 months ago
Forest trees for on-line data
This paper presents an hybrid adaptive system for induction of forest of trees from data streams. The Ultra Fast Forest Tree system (UFFT) is an incremental algorithm, with consta...
João Gama, Pedro Medas, Ricardo Rocha
101
Voted
COLT
2001
Springer
15 years 2 months ago
On Using Extended Statistical Queries to Avoid Membership Queries
The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...
Nader H. Bshouty, Vitaly Feldman
94
Voted
JFP
2006
113views more  JFP 2006»
14 years 10 months ago
Efficient manipulation of binary data using pattern matching
Pattern matching is an important operation in functional programs. So far, pattern matching has been investigated in the context of structured terms. This article presents an appr...
Per Gustafsson, Konstantinos F. Sagonas