1. Introduction to Machine Learning for Category Representation Jakob Verbeek November 27, 2009 Many slides adapted from S. Lazebnik 2. Plan for this course Introduction…
1. Introduction to Machine Learning for Category Representation Jakob Verbeek November 27, 2009 Many slides adapted from S. Lazebnik 2. Plan for this course Introduction…
Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 5 of Data Mining by I. H. Witten, E. Frank and M. A. Hall Credibility: Evaluating what’s…
1. Timeline• Remaining lectures – 2 lectures on machine learning (today and next Tuesday) – And then onto planning/search• Homeworks – # (N-grams) is due today…
Slide 1Bayesian Learning & Estimation Theory Slide 2 Maximum likelihood estimation L = Example: For Gaussian likelihood P(x| ) = N (x|, 2 ), Objective of regression:…
Slide 1Pattern Classification & Decision Theory Slide 2 How are we doing on the pass sequence? Bayesian regression and estimation enables us to track the man in the striped…
Slide 1ReverseTesting: An Efficient Framework to Select Amongst Classifiers under Sample Selection Bias Wei Fan IBM T.J.Watson Ian Davidson SUNY Albany Slide 2 Where Sample…
Slide 1CSC321 Introduction to Neural Networks and Machine Learning Lecture 21 Using Boltzmann machines to initialize backpropagation Geoffrey Hinton Slide 2 Some problems…