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ISMIS
2000
Springer
13 years 9 months ago
Prediction of Ordinal Classes Using Regression Trees
This paper is devoted to the problem of learning to predict ordinal (i.e., ordered discrete) classes using classification and regression trees. We start with S-CART, a tree inducti...
Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer...
ICONIP
2008
13 years 6 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
BMCBI
2006
74views more  BMCBI 2006»
13 years 5 months ago
Protein protein interactions, evolutionary rate, abundance and age
Background: Does a relationship exist between a protein's evolutionary rate and its number of interactions? This relationship has been put forward many times, based on a biol...
Ramazan Saeed, Charlotte M. Deane
CORR
2011
Springer
183views Education» more  CORR 2011»
12 years 9 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
BMCBI
2006
85views more  BMCBI 2006»
13 years 5 months ago
On single and multiple models of protein families for the detection of remote sequence relationships
Background: The detection of relationships between a protein sequence of unknown function and a sequence whose function has been characterised enables the transfer of functional a...
James A. Casbon, Mansoor A. S. Saqi