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Alternating decision tree

Known as: ADT, ADTree 
An alternating decision tree (ADTree) is a machine learning method for classification. It generalizes decision trees and has connections to boosting… 
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Papers overview

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2020
2020
This paper tackles the problems of generating concrete test cases for testing whether an application is vulnerable to attacks… 
2016
2016
Student academic failure prediction is still interesting topics in the Educational Data Mining. One of the challenges is how to… 
Review
2016
Review
2016
After Alzheimer‘s, the most dangerous neurological disorder is Parkinson Disease (PD). The problem with these disorders are once… 
2015
2015
This paper proposes to pre-recognize student's academic failure. Real time data on school or graduating students from an… 
2014
2014
This paper seeks to identify the factors of university students in major of Computer Science at Thaksin University, Thailand that… 
Review
2014
Review
2014
Parkinson’s disease is one of the most painful, dangerous and non curable diseases which occurs at older ages (mostly above 50… 
2012
2012
Frequent counting is a very so often required operation in machine learning algorithms. A typical machine learning task, learning… 
2010
2010
Complex number features are ubiquitous in many engineering and scientific applications. Many traditional classification… 
2009
2009
Ovarian cancer is one of the leading causes of death from cancer in women. The lifetime risk is around 1.5%, which makes it the… 
2008
2008
ADtrees, a data structure useful for caching sufficient statistics, have been successfully adapted to grow lazily when memory is…