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Logistic model tree

Known as: LMT 
In computer science, a logistic model tree (LMT) is a classification model with an associated supervised training algorithm that combines logistic… 
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Related topics

Related topics

11 relations
Akaike information criterionAlgorithmC4.5 algorithmComputer science

Papers overview

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2015
2015
Spam Mails Filtering Using Different Classifiers with Feature Selection and Reduction Technique
The continuous growth of email users has resulted in the increasing of unsolicited emails also known as Spam. Incurrent, server… 
2013
2013
An Efficient Classification Tree Technique for Heart Disease Prediction
data mining can be defined as discovery of relationships in large databases automatically and in some cases it is used for… 
Highly Cited
2011
Highly Cited
2011
A Hybrid Higher Order Neural Classifier for handling classification problems
2010
2010
A soft computing approach for modeling of severity of faults in software systems
As the majority of faults are found in a few of its modules so there is a need to investigate the modules that are affected… 
2010
2010
Enhancing list scheduling heuristics for dependent job scheduling in grid computing environments
Job scheduling plays a critical role in resource utilisation in a grid computing environment. The heterogeneity of grid resources… 
2009
2009
Intrusion detection with evolutionary learning classifier systems
Evolutionary Learning Classifier Systems (LCSs) combine reinforcement learning or supervised learning with effective genetics… 
2008
2008
Preservice Teachers' Mathematical Knowledge for Teaching and Their Performance in Selected Teaching Practices: Exploring a Complex Relationship.
Review
2007
Review
2007
ON THREE DIFFERENT TYPES OF SUBJECTLESSNESS AND HOW TO MODEL THEM IN LFG
Outside LFG, the term ‘subjectless’ is found referring to a range of phenomena in which the expression of the predicate lacks an… 
Highly Cited
2005
Highly Cited
2005
Iterative list scheduling for heterogeneous computing
1999
1999
A unified example-based and lexicalist approach to Machine Translation
We present an approach to Machine Translation that combines the ideas and methodologies of the Example-Based and Lexicalist… 
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