'Classification problems' presentation slideshows

CHAPTER 18 The Evolution of Animal Diversity

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Fuzzy-rough data mining

Fuzzy-rough data mining. Richard Jensen Advanced Reasoning Group University of Aberystwyth rkj@aber.ac.uk http://users.aber.ac.uk/rkj. Outline. Knowledge discovery process Fuzzy-rough methods Feature selection and extensions Instance selection Classification/prediction

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Statistical Classification

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Statistical Classification

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A Bayesian Approach to Joint Feature Selection and Classifier Design

A Bayesian Approach to Joint Feature Selection and Classifier Design. Balaji Krishnapuram , Alexander J. Hartemink , Lawrence Carin , Fellow, IEEE, and Mario A.T. Figueiredo , Senior Member, IEEE IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGNEC VOL. 26, NO.9, SEPTEMBER 2004.

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Classification and Taxonomy

Classification and Taxonomy. Greg Argo. Brief origins of the organization of information. Large amounts of information became difficult to store and retrieve. Although the classes used vary wildly across cultures, grouping based on the class level is nearly universal.

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Lecture 1: Introduction to Machine Learning

Lecture 1: Introduction to Machine Learning . Isabelle Guyon isabelle@clopinet.com. What is Machine Learning?. Learning algorithm. Trained machine. TRAINING DATA. Answer. ?. Query. What for?. Classification Time series prediction Regression Clustering. Market Analysis.

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Overview

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Lecture 1: Introduction to Machine Learning

Lecture 1: Introduction to Machine Learning . Isabelle Guyon isabelle@clopinet.com. What is Machine Learning?. Learning algorithm. Trained machine. TRAINING DATA. Answer. ?. Query. What for?. Classification Time series prediction Regression Clustering. Market Analysis.

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Linear Models (I)

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A-Class : a novel classification method

A-Class : a novel classification method. I.Tsoulos, A. Tzallas , E. Glavas. Presentation Layout . Data classification Grammatical evolution Mobile programming Implementation Experimental results Future work. 2. Data Classification.

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Cascade-based Classification Approach to problems with different complexities

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Neural Networks

Neural Networks. In Today's Lecture . A Perceptron to classify letters from different fonts: One Output Class A Perceptron to classify letters from different fonts: Several output classes Modified Perceptron Algorithm Problem with Perceptron Learning.

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74.419 Artificial Intelligence Individual Research Project Suggestions

74.419 Artificial Intelligence Individual Research Project Suggestions. Classification Problems. "Apples or Pears?" Classification with self-organizing neural networks; unsupervised learning "Amazon.com" Learning of correlated items in a data set (data mining with NNs) "The Why Project"

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