Multiclass Classification of Distributed Memory Parallel Computations Sean Whalena,∗, Sean Peisertb,c , Matt Bishopc a Computer Science Department, Columbia University, New York NY 10027

Source URL: www.node99.org

Multiclass Classification of Distributed Memory Parallel Computations Sean Whalena,∗, Sean Peisertb,c , Matt Bishopc a Computer Science Department, Columbia University, New York NY 10027

Source URL: node99.org

An Instance Selection Approach to Multiple Instance Learning Zhouyu Fu∗ 1 and Antonio Robles-Kelly2,3 1 Gippsland School of IT, Monash University, Churchill, VIC 3842, Australia 2 National ICT Australia †, Locked Bag

Source URL: users.cecs.anu.edu.au

• Artificial intelligence
• Support vector machine
• Multiple-instance learning
• Multiclass classification
• Pruning
• Supervised learning
• Pattern recognition
• Boosting methods for object categorization
• Machine learning
• Statistics
• Statistical classification

Hindawi Publishing Corporation Advances in Multimedia Volume 2013, Article ID, 22 pages http://dx.doi.orgResearch Article

Source URL: www.demcare.eu

• Co-training
• Support vector machine
• Supervised learning
• Margin classifier
• Semi-supervised learning
• Naive Bayes classifier
• Classifier
• Linear discriminant analysis
• Multiclass classification
• Statistics
• Statistical classification
• Machine learning

Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification Daniel Nechay, Yvan Pointurier, and Mark Coates Department of Electrical and Computer Engineering McGill University, Montr´eal, Qu´

Source URL: www.tsp.ece.mcgill.ca

• Support vector machine
• Classifier chains
• Multiclass classification
• Binary classification
• Classifier
• Linear discriminant analysis
• Gain
• Boosting methods for object categorization
• Classification rule
• Statistics
• Statistical classification
• Machine learning

International Journal of Computer ApplicationsVolume 59 - No. 10, December 2012 Predicting Human Assessment of Machine Translation Quality by Combining Automatic Evaluation Metrics using Binary Classifiers

Source URL: research.ijcaonline.org

• Machine learning
• Computational linguistics
• Multiclass classification
• Binary classification
• Evaluation of machine translation
• BLEU
• Support vector machine
• Perceptron
• Machine translation
• Statistics
• Statistical classification
• Artificial intelligence

Multiclass Boosting with Repartitioning Ling Li Learning Systems Group, California Institute of Technology, Pasadena, CA 91125, USA Abstract

Source URL: www.work.caltech.edu

• Artificial intelligence
• Learning
• Perceptron
• Support vector machine
• AdaBoost
• Margin classifier
• Boosting
• Multiclass classification
• Statistics
• Statistical classification
• Ensemble learning

Tackling the Poor Assumptions of Naive Bayes Text Classifiers

Source URL: www.aaai.org

• Machine learning
• Naive Bayes classifier
• Multiclass classification
• Linear classifier
• Document classification
• Classification rule
• Random naive Bayes
• Averaged one-dependence estimators
• Statistics
• Statistical classification
• Bayesian statistics

S.A. Solla, T.K. Leen and K.-R. M¨uller (eds.), 547–553, MIT PressLarge Margin DAGs for Multiclass Classification John C. Platt Microsoft Research

Source URL: research.microsoft.com

• Support vector machine
• Perceptron
• Margin classifier
• Supervised learning
• Decision boundary
• Classifier
• Decomposition method
• Multiclass classification
• Tree
• Statistics
• Machine learning
• Statistical classification

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 24, NO. 11, NOVEMBERBrief Papers Multiclass Support Vector Machines With

Source URL: www.ieo-gijon.es

• Operations research
• Statistical classification
• Support vector machine
• Algorithm
• Mathematical optimization
• Supervised learning
• Loss function
• Statistics
• Machine learning
• Mathematical sciences