Single-Pass Online Learning: Performance, Voting Schemes and Online Feature Selection a Vitor R. Carvalhoa

Source URL: www.cs.cmu.edu

• Perceptron
• Naive Bayes classifier
• Machine learning
• Support vector machine
• Statistics
• Statistical classification
• Winnow

Improving A Page Classifier with Anchor Extraction and Link Analysis William W. Cohen Center for Automated Learning and Discovery, CMU 5000 Forbes Ave, Pittsburgh, PA 15213

Source URL: www.cs.cmu.edu

• Computational statistics
• Science
• Co-training
• Data mining
• Wrapper
• Statistical classification
• Document classification
• Information extraction
• Winnow
• Machine learning
• Artificial intelligence
• Natural language processing

FDU at TREC2002: Filtering, Q&A, Web and Video Tasks Lide Wu, Xuanjing Huang, Junyu Niu, Yingju Xia, Zhe Feng, Yaqian Zhou Fudan University, Shanghai, China This year Fudan University takes part in the TREC conference fo

Source URL: trec.nist.gov

• Natural language processing
• Information
• Computational linguistics
• Precision and recall
• Question answering
• Open domain question answering
• Winnow
• Relevance
• Statistical classification
• Information science
• Information retrieval
• Science

Native filmmakers use eye, experience to winnow entries for Film + Video Festival American Indian News Service New York—Every other year, the Film + Video Festival at the Smithsonian’s National Museum of the America

Source URL: www.americanindiannews.org

Using Additive Expert Ensembles to Cope with Concept Drift Jeremy Z. Kolter and Marcus A. Maloof {jzk, maloof}@cs.georgetown.edu Department of Computer Science, Georgetown University, Washington, DC[removed], USA

Source URL: www.machinelearning.org

• Linear regression
• Statistics
• Weighted Majority Algorithm
• Winnow

Learning to Classify with Missing and Corrupted Features Ofer Dekel Microsoft Research, 1 Microsoft Way, Redmond, WA[removed]USA Ohad Shamir The Hebrew University, Jerusalem 91904, Israel

Source URL: www.machinelearning.org

• Linear classifier
• Support vector machine
• Winnow
• Linear programming
• Statistics
• Statistical classification
• Perceptron

Learning in the Cerebellum with Sparse Conjun tions and Linear Separator Algorithms Harlan D. Harris and Jesse A. Rei hler Department of Computer S ien e University of Illinois at Urbana-Champaign Urbana, IL 61801

Source URL: www.harlan.harris.name

• Learning
• Perceptron
• Computational statistics
• Machine learning
• Delta rule
• Supervised learning
• Neural networks
• Artificial intelligence
• Winnow

SNoW User Guide Andrew J. Carlson, Chad M. Cumby, Je L. Rosen, Dan Roth Cognitive Computation Group Computer Science Department University of Illinois, Urbana/Champaign

Source URL: cogcomp.cs.illinois.edu

• Science
• Winnow
• Perceptron
• Artificial neuron
• Software license
• General Architecture for Text Engineering
• Feedback
• License
• Proprietary software
• Neural networks
• Software
• Cybernetics

International Journal of Computer Vision 57(2), 137–154, 2004 c 2004 Kluwer Academic Publishers. Manufactured in The Netherlands.
Robust Real-Time Face Detection PAUL VIOLA

Source URL: www.vision.caltech.edu

• Statistical classification
• Ensemble learning
• Face recognition
• Computer vision
• AdaBoost
• Haar-like features
• Viola–Jones object detection framework
• Winnow
• Perceptron
• Machine learning
• Statistics
• Artificial intelligence

LAKE’S PAROCHIAL HISTORY OF CORNWALL S. WINNOW Extract from pages 323 to 331 of Volume IV, Part No. 54 of "A Complete Parochial History of the County of Cornwall" (known as “Lake‟s Parochial History of Cornwall”)

Source URL: pyran.org

• Geography of England
• St Winnow
• Boconnoc
• Lerryn
• High Sheriff of Cornwall
• Lostwithiel
• Civil parishes in Cornwall
• Cornwall
• Local government in England