Lecture No. 4

       Ravi Gupta
 AU-KBC Research Centre,
MIT Campus, Anna University




                              Da...
Today’s Agenda


•   Instance Based Learning
•   Measuring Credibility of Classifier
•   Discussions on Case Study
•   WEK...
Instance-Based Learning


Learning in Instance-based learning algorithms consists of simply
storing the presented training...
Instance-Based Learning


Query Instance                       Target Class
                    Training
                 ...
Previous Learning Method


 Training    Model /         Target Class
Instances   Hypothesis




            Query Instance
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
Machine learning Lecture 4
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Machine learning Lecture 4

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Machine learning lecture series by Ravi Gupta, AU-KBC in MIT

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Machine learning Lecture 4

  1. 1. Lecture No. 4 Ravi Gupta AU-KBC Research Centre, MIT Campus, Anna University Date: 12.3.2008
  2. 2. Today’s Agenda • Instance Based Learning • Measuring Credibility of Classifier • Discussions on Case Study • WEKA Demo
  3. 3. Instance-Based Learning Learning in Instance-based learning algorithms consists of simply storing the presented training data and find a set of similar related instances, retrieved from memory (training set) and used to classify the new query instance.
  4. 4. Instance-Based Learning Query Instance Target Class Training Instances Present in memory
  5. 5. Previous Learning Method Training Model / Target Class Instances Hypothesis Query Instance
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