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DAWAK
2006
Springer
13 years 11 months ago
Mixed Decision Trees: An Evolutionary Approach
In the paper, a new evolutionary algorithm (EA) for mixed tree learning is proposed. In non-terminal nodes of a mixed decision tree different types of tests can be placed, ranging ...
Marek Kretowski, Marek Grzes
FLAIRS
2007
13 years 10 months ago
Naive Bayes and Decision Trees for Function Tagging
This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....
Mihai C. Lintean, Vasile Rus
ICONIP
2010
13 years 6 months ago
A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates
In this paper a holistic method and a local method based on decision template ensemble are investigated. In addition by combining both methods, a new hybrid method for boosting the...
Mohammad Sajjad Ghaemi, Saeed Masoudnia, Reza Ebra...
STTT
2008
90views more  STTT 2008»
13 years 7 months ago
A uniform framework for weighted decision diagrams and its implementation
1 This papers introduces a generic framework for OBDD variants with weighted edges. It covers many boolean and multi-valued OBDD-variants that have been studied in the literature a...
Jörn Ossowski, Christel Baier
ICML
2004
IEEE
14 years 8 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch