JMLR: Workshop and Conference Proceedings 1: 1-16 KDD Cup 2010 Feature Engineering and Classifier Ensemble for KDD Cup 2010

Source URL: pslcdatashop.org

• Statistics
• Machine learning
• Artificial intelligence
• Statistical classification
• Ensemble learning
• Regression analysis
• Estimation theory
• Linear classifier
• Support vector machine
• AdaBoost
• Logistic regression
• Netflix Prize

Ill l Ill l l Il Ill l Ill l Ill l Ill l Ill l Il l Ill l Ill Il l l Ill Il l Ill US007756799B2nited States Patent

Source URL: www.kirshenbaum.net

• Statistical classification
• Classifier
• Naive Bayes classifier
• Support vector machine
• Multiclass classification
• Multi-label classification
• Classification rule
• Chinese classifier
• Linear classifier

In Proceedings of the 2003 Australasian Language Technology Workshop (ALTW2003), Melbourne, Australia, ppThe Ins and Outs of Dutch Noun Countability Classification Timothy Baldwin CSLI

Source URL: lingo.stanford.edu

• Grammatical number
• Grammar
• Linguistics
• Parts of speech
• Syntax
• Classifier
• Count noun
• Plural
• Noun
• Statistical classification
• English determiners
• Indefinite pronoun

Implementing the Syntax of Japanese Numeral Classifiers Emily M. Bender Department of Linguistics University of Washington BoxSeattle WA

Source URL: faculty.washington.edu

• Parts of speech
• Grammatical number
• Grammar
• Classifier
• Count noun
• Noun phrase
• Nominal
• Mass noun
• Noun
• Chinese classifier

Suboptimal Behavior of Bayes and MDL in Classification under Misspecification Peter Gr¨ unwald1 and John Langford2 1

Source URL: hunch.net

• Statistical classification
• Bayesian statistics
• Statistical inference
• Estimation theory
• Naive Bayes classifier
• Machine learning
• Bayesian inference
• Likelihood function
• Bayes classifier
• Bayesian
• Probabilistic classification
• Bayes estimator

Learning the Countability of English Nouns from Corpus Data Timothy Baldwin Francis Bond NTT Communication Science Laboratories CSLI Nippon Telegraph and Telephone Corporation

Source URL: lingo.stanford.edu

• Parts of speech
• Grammatical number
• Grammar
• Classifier
• Count noun
• Noun
• Plural
• Mass noun
• Proper noun
• Adjective
• Part of speech
• Part-of-speech tagging

Taylor Expansion Based Classifier Adaptation: Application to Person Detection Cha Zhang† , Raffay Hamid‡ and Zhengyou Zhang† † Microsoft Research, One Microsoft Way, Redmond, WA 98052 ‡ Georgia Institute of Tec

Source URL: raffayhamid.com

TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents Haimonti Dutta∗ , Xianshu Zhu† , Tushar Mahule† , Hillol Kargupta† , Kirk Borne§ , Codrina Lauth‡ , Florian Holz¶ and Ge

Source URL: kirkborne.net

Chapter 13 A User’s Guide to Support Vector Machines Asa Ben-Hur and Jason Weston Abstract The Support Vector Machine (SVM) is a widely used classifier in bioinformatics. Obtaining the best results with SVMs requires a

Source URL: www.cs.colostate.edu

Ensemble of SVM Trees for Multimodal Emotion Recognition Viktor Rozgić, Sankaranarayanan Ananthakrishnan, Shirin Saleem, Rohit Kumar, and Rohit Prasad Speech Language and Multimedia Technologies, Raytheon BBN Technologi

Source URL: www.apsipa.org

• Statistical classification
• Machine learning
• Parts of speech
• Support vector machines
• Classifier
• Structured support vector machine
• Binary classification
• Kernel method
• Affective computing
• Classifier chains