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Artificial intelligence / Ensemble learning / AdaBoost / Support vector machine / Boosting / Multiple-instance learning / Naive Bayes classifier / Supervised learning / Classifier / Statistics / Machine learning / Statistical classification


MICCLLR: Multiple-Instance Learning using Class Conditional Log Likelihood Ratio Yasser EL-Manzalawy1,2 and Vasant Honavar1 1 Department of Computer Science
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Document Date: 2009-07-11 21:20:08


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File Size: 169,79 KB

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Company

Gartner / MICCLLR / USA 2 Systems / /

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Facility

Computer Engineering Al-Azhar University / /

IndustryTerm

systems performance management / machine learning algorithms / supervised learning algorithm / classification algorithms / backpropagation algorithm / supervised learning algorithms / supervised classification algorithm / learning algorithms / /

Movie

MINB / /

Organization

Systems and Computer Engineering Al-Azhar University Cairo / US Federal Reserve / Department of Computer Science Iowa State University Ames / /

Position

representative / /

Product

AdaBoost / Logistic Regression / /

ProgrammingLanguage

Java / /

ProvinceOrState

New Brunswick / Iowa / /

Technology

drug discovery / proposed MINB algorithm / two MIBoosting algorithms / Java / supervised learning algorithms / API / supervised learning algorithm / supervised classification algorithm / classification algorithms / comparing machine learning algorithms / backpropagation algorithm / MIL algorithm / generalized MIL algorithm / MIL algorithms / CAD / /

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