Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition Nadi Tomeh, Nizar Habash, Ryan Roth, Noura Farra Center for Computational Learning Systems, Columbia University {nadi,habash,ryanr,

Source URL: aclweb.org

• Computational linguistics
• Learning to rank
• Semantic similarity
• Optical character recognition
• Word error rate
• Word-sense disambiguation
• Statistical hypothesis testing
• Natural language processing
• Support vector machine
• Pattern recognition
• Language model
• Ranker

Understanding and Diagnosing Visual Tracking Systems Naiyan Wang† Jianping Shi‡ Dit-Yan Yeung† Jiaya Jia‡ † ‡ Hong Kong University of Science and Technology Chinese University of Hong Kong

Source URL: www.cse.cuhk.edu.hk

• Tracking
• Tracker
• Physics
• Music tracker
• Video tracking
• Conference on Computer Vision and Pattern Recognition
• Artificial intelligence
• ALICE: A Large Ion Collider Experiment
• Support vector machine
• Science and technology

Very Fast Similarity Queries on Semi-Structured Data from the Web Bhavana Dalvi School of Computer Science Carnegie Mellon University

Source URL: www.cs.cmu.edu

• Statistical classification
• Statistics
• Search algorithms
• Support vector machine
• K-nearest neighbors algorithm
• K-means clustering
• Data
• Topological graph theory
• Learning
• Machine learning

Co-training and Visualizing Sentiment Evolvement for Tweet Events Shenghua Liu Wenjun Zhu, Ning Xu

Source URL: www2013.wwwconference.org

• Software
• Computing
• Natural language processing
• Statistical classification
• Real-time web
• Affective computing
• Sentiment analysis
• Twitter
• Support vector machine

Researcher Homepage Classification using Unlabeled Data Sujatha Das G.1,3 , Cornelia Caragea1,4 , Prasenjit Mitra1,2,3 , C. Lee Giles1,2,3 1 Computer Science and Engineering Information Sciences and Technology

Source URL: www2013.wwwconference.org

• Machine learning
• Learning
• Semi-supervised learning
• Co-training
• Support vector machine
• Cross-validation
• Supervised learning
• Test set

Using Neural Measures of Economic Value to Solve the Public Goods Free-Rider Problem Ian Krajbich, et al. Science 326, ); DOI: scienceThe following resources related to this article are availabl

Source URL: www.rnl.caltech.edu

• Game theory
• Mechanism design
• Machine learning
• Incentive compatibility
• Support vector machine
• Revelation principle
• Statistical classification
• Information
• Learning
• Mathematics

Multi-Label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages Rahul Agrawal Microsoft AdCenter

Source URL: www2013.wwwconference.org

• Statistical classification
• Machine learning
• Multi-label classification
• Support vector machine
• Multiclass classification
• Supervised learning
• Semi-supervised learning
• Pattern recognition
• Linear classifier
• Classifier chains

IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events AUTOMATIC EVENT CLASSIFICATION USING FRONT END SINGLE CHANNEL NOISE REDUCTION, MFCC FEATURES AND A SUPPORT VECTOR MACHINE CLASSIFIER Wald

Source URL: c4dm.eecs.qmul.ac.uk

Mon.O1b.04 Phonotactic Language Recognition Using i-vectors and Phoneme Posteriogram Counts

Source URL: www.fit.vutbr.cz

• Machine learning
• Computational linguistics
• Vectors
• Statistical classification
• Probability distributions
• N-gram
• Speech recognition
• Multinomial distribution
• Mixture model
• Language model
• Support vector machine
• Euclidean vector

198 Genome Informatics 15(1): 198–Peptide Binding at Class I Major Histocompatibility Complex Scored with Linear Functions and Support

Source URL: www.jsbi.org

• Immune system
• Biology
• Genetics
• Glycoproteins
• Cell biology
• Peptide
• Epitope
• Major histocompatibility complex
• LSm
• Support vector machine
• MHC class I
• HLA-A