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

[Angrosh]

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.

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

For more details Please contact Angrosh at 9886970411 or mail to
off...@isim.ac.in