Connecting Personal-scale Sensing and Networked Community Behavior to Infer Human Activities Nicholas D. Lane† , Li Pengyu‡ , Lin Zhou∗ , Feng Zhao† † Microsoft Research, ‡ Beijing University of Post and Tele

Source URL: www.niclane.org

• Learning
• Activity recognition
• Statistical classification
• Supervised learning
• Naive Bayes classifier
• Classifier
• Machine learning
• Artificial intelligence
• Statistics

ABSTRACT: This paper presents a hybrid approach that consists of two different methods from machine learning technique, which are the Artificial Neural Network (ANN) and Naïve Bayes. The proposed technique is purposely

Source URL: eprints.utm.my

NIPS’01 The Use of Classifiers in Sequential Inference Vasin Punyakanok Dan Roth

Source URL: l2r.cs.uiuc.edu

• Statistical classification
• Hidden Markov model
• Maximum-entropy Markov model
• Naive Bayes classifier
• Classifier
• Speech recognition
• Markov chain
• Hierarchical hidden Markov model
• Statistics
• Markov models
• Machine learning

Beyond Trending Topics: Real-World Event Identification on Twitter Hila Becker Mor Naaman Luis Gravano

Source URL: sm.rutgers.edu

• Data mining
• Social media
• Twitter
• Real-time web
• Text messaging
• Cluster analysis
• Hashtag
• Computer cluster
• Naive Bayes classifier
• Statistics
• Computing
• Information

Real Analysis P. Ouwehand Department of Mathematics and Applied Mathematics University of Cape Town

Source URL: users.aims.ac.za

• Field theory
• General topology
• Calculus
• Set theory
• Naive set theory
• Continuous function
• Irrational number
• Exponentiation
• Real number
• Mathematics
• Abstract algebra
• Elementary mathematics

Automatic Feature Decomposition for Single View Co-training Minmin Chen, Kilian Q. Weinberger, Yixin Chen mc15, kilian, [removed] Washington University in Saint Louis, 1 Brookings Dr., Saint Louis, MO[removed]USA

Source URL: www.cse.wustl.edu

• Artificial intelligence
• Co-training
• Linear classifier
• Supervised learning
• Semi-supervised learning
• Support vector machine
• Classifier
• Naive Bayes classifier
• Random subspace method
• Statistics
• Machine learning
• Statistical classification

Microsoft Word - j43_Daskalaki_etal_2006.doc

Source URL: hci.ece.upatras.gr

• Receiver operating characteristic
• Support vector machine
• Gain
• Perceptron
• Naive Bayes classifier
• Multinomial logit
• Random subspace method
• AdaBoost
• Statistics
• Machine learning
• Statistical classification

OFFICE OF TERIFT SUPERVISION Notice of Intent by Mutual Eolding Company to Naive Dividend from Subsidiary Savings Association Order No[removed]

Source URL: www.occ.gov

• Savings and loan association
• Financial services
• Structure
• Financial institutions
• Office of Thrift Supervision
• Dividend

Document Classification for Focused Topics Russell Power, Jay Chen, Trishank Karthik, Lakshminarayanan Subramanian (power, jchen, trishank, lakshmi)@cs.nyu.edu Abstract Feature extraction is one of the fundamental challe

Source URL: ai-d.org

• Natural language processing
• Information retrieval
• Statistical classification
• Machine learning
• Document classification
• Naive Bayes classifier
• Support vector machine
• Precision and recall
• Tf*idf
• Statistics
• Science
• Information science

The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki ([removed])∗ Bj¨orn Meder ([removed])∗ Jonathan D. Nelson ([removed])∗ ∗ Center

Source URL: mindmodeling.org

• Causality
• Machine learning
• Probability
• Likelihood function
• Random naive Bayes
• One-shot learning
• Bayesian statistics
• Statistics
• Naive Bayes classifier