'Maximum likelihood approach' presentation slideshows

Introduction to Machine Learning

Introduction to Machine Learning. Manik Varma Microsoft Research India http://research.microsoft.com/~manik manik@microsoft.com. Binary Classification. Is this person Madhubala or not? Is this person male or female? Is this person beautiful or not?. Multi-Class Classification.

1.3k views • 110 slides

Improving Classification Accuracy Using Knowledge Based Approach

Title. Improving Classification Accuracy Using Knowledge Based Approach. Ali A. Alesheikh A. Talebzadeh F. Sadeghi Naeeni. Content. Image interpretation by computer vision Traditional strategies Knowledge-based Levels of processing and representation

584 views • 41 slides

Phylogenetics 4 Maximum Likelihood and Bayesian phylogenetic inference

http://www.york.ac.uk/depts/maths/histstat/people/. Phylogenetics 4 Maximum Likelihood and Bayesian phylogenetic inference . Previously: The parsimony criterion Bootstrapping Models of molecular evolution Distance methods

995 views • 39 slides

Financial integration and economic performance of the SACU countries: do different types of capital stocks matter?

Financial integration and economic performance of the SACU countries: do different types of capital stocks matter?. By Prof. Meshach Aziakpono Department of Economics, Rhodes University Prof. Philippe Burger Department of Economics, University of Free State And Prof. Stan du Plessis

512 views • 36 slides

Frequency Estimation Techniques Peter J. Kootsookos p.kootsookos@ieee

Frequency Estimation Techniques Peter J. Kootsookos p.kootsookos@ieee.org. Frequency Estimation Techniques Talk Summary. Some acknowledgements What is frequency estimation? What other problems are there? Some algorithms Maximum likelihood Subspace techniques Quinn-Fernandes

505 views • 36 slides

CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS

Probabilistic modeling and molecular phylogeny Anders Gorm Pedersen Molecular Evolution Group Center for Biological Sequence Analysis Technical University of Denmark (DTU). CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS. CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS. What is a model?.

447 views • 34 slides

Lecture 18: Testing CAPM

984 views • 32 slides

CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS

Probabilistic modeling and molecular phylogeny Anders Gorm Pedersen Molecular Evolution Group Center for Biological Sequence Analysis Technical University of Denmark (DTU). CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS. CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS. What is a model?.

321 views • 32 slides

Probabilistic modeling and molecular phylogeny Anders Gorm Pedersen Molecular Evolution Group

Probabilistic modeling and molecular phylogeny Anders Gorm Pedersen Molecular Evolution Group Center for Biological Sequence Analysis Technical University of Denmark (DTU). What is a model?. Mathematical models are: Incomprehensible Useless No fun at all. What is a model?.

429 views • 31 slides

Probabilistic modeling and molecular phylogeny Anders Gorm Pedersen Molecular Evolution Group

Probabilistic modeling and molecular phylogeny Anders Gorm Pedersen Molecular Evolution Group Center for Biological Sequence Analysis Technical University of Denmark (DTU). What is a model?. Mathematical models are: Incomprehensible Useless No fun at all. What is a model?.

325 views • 30 slides

Vegetation classification on Prathong Island, Phang Nga , Thailand

Vegetation classification on Prathong Island, Phang Nga , Thailand. Naiyana Srichai & Chanida Suwanprasit Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus. APAN 33 rd Meeting 13-17 February 2012. Introduction.

418 views • 25 slides

A Flavour of Errors in Variables Modelling

A Flavour of Errors in Variables Modelling. Jonathan Gillard GillardJW@Cardiff.ac.uk. Constructing the Model. We have two variables, ? and ? . ? and ? are linearly related in the form ? = ? + ?? .

274 views • 17 slides

LECTURE 16: EM AND SIMPLE REGRESSION. Objectives: Feature and Model Space Adaptation General Adaptation Framework Expectation Maximization Simple Linear Regression

228 views • 12 slides

Model Selection Anders Gorm Pedersen Molecular Evolution Group

Model Selection Anders Gorm Pedersen Molecular Evolution Group Center for Biological Sequence Analysis Technical University of Denmark (DTU). The maximum likelihood approach. Likelihood = Probability (Data | Model) Maximum likelihood:

235 views • 12 slides

Applications of Dirichlet Process Mixtures to Speaker Adaptation

Applications of Dirichlet Process Mixtures to Speaker Adaptation Amir Harati and Joseph Picone Marc Sobel Institute for Signal and Information Processing, Temple University Department of Statistics, Temple University. www.isip.piconepress.com. Introduction

168 views • 1 slides