1. This site uses cookies. By continuing to use this site, you are agreeing to our use of cookies. Learn More.

Workshop on Machine Learning, April 21-25, 2008, Bangalore - Call for participation

Discussion in 'Engineering Concepts' started by Angrosh, Mar 13, 2008.

  1. Angrosh

    Angrosh New Member

    Mar 13, 2008
    Likes Received:
    Trophy Points:
    The International School of Information Management (ISiM), University of Mysore is organising a Workshop on Machine Learning - its second Executive Education Programme during April 21-25 in Bangalore. (www.isim.ac.in/mlw)

    The Workshop faculty is Prof. Sargur Srihari, SUNY Distinguished Professor of Computer Science and Engineering at the University at Buffalo, State University of New York, USA and Visiting Faculty at ISiM. Professor Srihari, author of more than 300 research papers including 6 US patents, is the founding director of CEDAR (Centre of Excellence for Document Analysis and Recognition) and a well-known expert in pattern recognition and Machine Learning.

    Registration fee: Rs. 15000/-* per participant (Earn yourself 3 credits from this Executive Education Programme) – Limited seats available. Registration on first come, first serve basis.

    Focus of the Workshop:

    Balancing theory and practice, this Workshop, will focus on the following applications:
    · Information Retrieval,
    · Language Processing,
    · Document Analysis
    · Speech Recognition

    Objectives of the workshop:

    · Introduce participants to concepts of ML including concepts of clustering, Gaussian mixtures and dimensionality reduction
    · Enable the use of the state of the art methods and tools in ML techniques
    · Provide an overview of the major areas of applications of ML
    · An in depth understanding of ML applications in the four focus areas - Information Retrieval; Language Processing; Document Analysis and Speech Recognition
    · Provide hands on training on the key techniques

    Course Outline

    Module 1. Introduction: What is ML; Discriminative vs Generative ; Regression Example
    Module 2: Probability Theory ; Decision Theory ; Information Theory ; Probability Distributions ; Linear Regression Models ; Linear Basis Functions ; Bias-Variance Trade-off ; Bayesian Linear Regression
    Module 3. Neural Networks and Kernel Machines: Biological Motivation; Perceptrons ; Multilayer Networks and Backpropagation ; Representational Power; Applications ; Support Vector Machines
    Module 4. Graphical Models and EM: Bayesian Networks; Conditional Independence; Markov Random Fields ; Inference in Graphical Models ; K-means Clustering ; Mixtures of Gaussians
    Module 5. Sampling Methods: Basic Sampling Methods; Monte Carlo Methods, Gibbs Sampling
    Module 6: Sequential Data : Markov Models ; Hidden Markov Models ; Extensions to HMMs ; Linear Dynamical Systems ; Conditional Random Fields
    Module 7. ML Applications with focus on Information Retrieval, Document Analysis and Recognition, Natural Language Processing, Data Mining

    Participant Profile

    This Workshop is designed for academicians and professionals in Computer Science and Engineering, Statistics and Social Sciences. The workshop is mainly targeted for:

    · Academicians and industry practitioners of ML
    · Professionals working in the areas of Information Retrieval, Language Processing, Document Analysis and Speech Recognition
    · Researchers working in the application areas but new to ML
    · Students pursuing projects in ML

    Workshop Highlights and Benefits to Participants

    · Get a panoramic view of ML
    · Understand the basics of ML
    · Learn the latest tools and techniques used in ML
    · Get hands on experience on developing basic biometric, character and image recognition modules
    · Gain knowledge of implementing advanced classifiers and boosting
    · Get exposure to new arenas of research and projects

    Workshop Venue

    Informatics (India) Ltd.
    No. 194, R.V. Road
    Basavanagudi, P.B. No. 400
    Bangalore 560 004
    For more details Please contact Angrosh at 9886970411 or mail to office@isim.ac.in

    * Registration fee includes workshop material, lunch and refreshments

    M. A. Angrosh
    Project Manager
    International School of Information Management
    University of Mysore, Manasagangotri
    Mysore - 570 006
    Tel: +91-821-2514699; Fax: +91-821-2519209
    Email: angrosh@isim.ac.in
    Website: www.isim.ac.in


Share This Page