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Decision tree learning

Note Onset Deviations as Musical Piece Signatures

Joan Serrà, Tan Hakan Özaslan, Josep Lluis Arcos

published 31 Jul 2013

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Exploratory Analysis of Methods for Automated Classification of Laboratory Test Orders into Syndromic Groups in Veterinary Medicine

Fernanda C. Dórea, C. Anne Muckle, David Kelton, JT. McClure, Beverly J. McEwen, W. Bruce McNab, Javier Sanchez, Crawford W. Revie

published 07 Mar 2013

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The Use of Machine Learning Methodologies to Analyse Antibiotic and Biocide Susceptibility in Staphylococcus aureus

Joana Rosado Coelho, João André Carriço, Daniel Knight, Jose-Luis Martínez, Ian Morrissey, Marco Rinaldo Oggioni, Ana Teresa Freitas

published 19 Feb 2013

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A New Avenue for Classification and Prediction of Olive Cultivars Using Supervised and Unsupervised Algorithms

Amir H. Beiki, Saba Saboor, Mansour Ebrahimi

published 05 Sep 2012

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Use of Artificial Intelligence to Shorten the Behavioral Diagnosis of Autism

Dennis P. Wall, Rebecca Dally, Rhiannon Luyster, Jae-Yoon Jung, Todd F. DeLuca

published 27 Aug 2012

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Comprehensive Decision Tree Models in Bioinformatics

Gregor Stiglic, Simon Kocbek, Igor Pernek, Peter Kokol

published 30 Mar 2012

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Identifying Hosts of Families of Viruses: A Machine Learning Approach

Anil Raj, Michael Dewar, Gustavo Palacios, Raul Rabadan, Christopher H. Wiggins

published 09 Dec 2011

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Identification of Novel Functional Inhibitors of Acid Sphingomyelinase

Johannes Kornhuber, Markus Muehlbacher, Stefan Trapp, Stefanie Pechmann, Astrid Friedl, Martin Reichel, Christiane Mühle, Lothar Terfloth, Teja W. Groemer, Gudrun M. Spitzer, Klaus R. Liedl, Erich Gulbins, Philipp Tripal

published 31 Aug 2011

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Prediction of Peptide Reactivity with Human IVIg through a Knowledge-Based Approach

Nicola Barbarini, Alessandra Tiengo, Riccardo Bellazzi

published 24 Aug 2011

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A Collaborative Filtering Approach for Protein-Protein Docking Scoring Functions

Thomas Bourquard, Julie Bernauer, Jérôme Azé, Anne Poupon

published 22 Apr 2011

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An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++

Yuliya V. Karpievitch, Elizabeth G. Hill, Anthony P. Leclerc, Alan R. Dabney, Jonas S. Almeida

published 18 Sep 2009

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