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Dimensionality Reduction for Data Mining - Techniques, Applications and Trends

Dimensionality Reduction for Data Mining - Techniques, Applications and Trends

Dimensionality Reduction for Data Mining - Techniques, Applications and Trends. Lei Yu Binghamton University Jieping Ye, Huan Liu Arizona State University. Outline. Introduction to dimensionality reduction Feature selection (part I) Basics Representative algorithms Recent advances

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1.88k views • 135 slides
Performance Evaluation for Learning Algorithms

Performance Evaluation for Learning Algorithms

Performance Evaluation for Learning Algorithms. Nathalie Japkowicz School of Electrical Engineering & Computer Science University of Ottawa nat@site.uottawa.ca. Motivation: My story.

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1.35k views • 112 slides
Web Mining: Machine Learning for Web Applications Hsinchun Chen and Michael Chau University of Ar

Web Mining: Machine Learning for Web Applications Hsinchun Chen and Michael Chau University of Ar

Web Mining: Machine Learning for Web Applications Hsinchun Chen and Michael Chau University of Arizona. Introduction Machine Learning: An Overview Machine Learning for Information Retrieval: Pre-Web Web Mining Conclusions and Future Directions. Outline.

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590 views • 42 slides
Study of Bayesian network classifier

Study of Bayesian network classifier

Study of Bayesian network classifier. Huang Kaizhu Supervisors: Prof. Irwin King Prof. Lyu Rung Tsong Michael Markers: Prof. Chan Lai Wan Prof. Wong Kin Hong. Outline. Background What is Bayesian network?

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677 views • 31 slides
Neural Computing Group Department of Computing University of Surrey

Neural Computing Group Department of Computing University of Surrey

In-situ Learning in Multi-net Systems. Matthew Casey and Khurshid Ahmad. 25 th August 2004. Neural Computing Group Department of Computing University of Surrey. http://www.computing.surrey.ac.uk/personal/st/M.Casey/. Classification and Multi-nets. Multiple classifiers:

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274 views • 14 slides

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