'Bayes' diaporamas de présentation

I256: Applied Natural Language Processing

I256: Applied Natural Language Processing. Marti Hearst Nov 1, 2006 (Most slides originally by Barbara Rosario, modified here). Today. Algorithms for Classification Binary classification Perceptron Winnow Support Vector Machines (SVM) Kernel Methods Multi-Class classification

816 views • 65 slides

Data Mining Anomaly Detection

967 views • 59 slides

models: reinforcement learning & fMRI

models: reinforcement learning & fMRI. Nathaniel Daw 11/28/2007. overview. reinforcement learning model fitting: behavior model fitting: fMRI. overview. reinforcement learning simple example tracking choice model fitting: behavior model fitting: fMRI.

859 views • 58 slides

Opinions Extraction and Information Synthesis

Opinions Extraction and Information Synthesis. Roadmap. Opinion Extraction Sentiment classification Opinion mining Information synthesis Sub-topic finding using information redundancy Sub-topic finding using language patterns. Word-of-mouth on the Web.

752 views • 58 slides

Generative Topic Models for Community Analysis

Generative Topic Models for Community Analysis . Ramesh Nallapati. Objectives. Provide an overview of topic models and their learning techniques Mixture models, PLSA, LDA EM, variational EM, Gibbs sampling Convince you that topic models are an attractive framework for community analysis

754 views • 55 slides

Conditional Probability

1.38k views • 54 slides

The Use of Fractional Polynomials in Multivariable Regression Modeling

Patrick Royston MRC Clinical Trials Unit, London, UK. Willi Sauerbrei Institut of Medical Biometry and Informatics University Medical Center Freiburg, Germany. The Use of Fractional Polynomials in Multivariable Regression Modeling.

815 views • 53 slides

Hidden Markov Model

677 views • 45 slides

Sethuraman Sankaran and Nicholas Zabaras

An Information-theoretic Tool for Property Prediction Of Random Microstructures. Sethuraman Sankaran and Nicholas Zabaras. Materials Process Design and Control Laboratory Sibley School of Mechanical and Aerospace Engineering 188 Frank H. T. Rhodes Hall Cornell University

620 views • 44 slides

Gene Selection For Discriminant Microarray Data Analyses

Gene Selection For Discriminant Microarray Data Analyses. Wentian Li, Ph.D Lab of Statistical Genetics Rockefeller University http://linkage.rockefeller.edu/wli/. Overview. review of microarray technology review of discriminant analysis variable selection technique

838 views • 41 slides

Explaining the Fallacies

Explaining the Fallacies. Implications for the Roles of Probability and Logic in Argumentation. Ulrike Hahn Cardiff University. Mike Oaksford Birkbeck College London. The Fallacies. Original catalogue Aristotle; additions from middle ages to present time (e.g., Locke)

579 views • 39 slides

A Study of Supervised Spam Detection Applied to Eight Months of Personal E-Mail

A Study of Supervised Spam Detection Applied to Eight Months of Personal E-Mail. Gordon Cormack and Thomas Lynam Presented by Hui Fang. Feel free to interrupt when you have any question or comment!. Detour: Some background about Email Spam.

467 views • 34 slides

Bayesian Inference and Posterior Probability Maps

Bayesian Inference and Posterior Probability Maps . Guillaume Flandin. Wellcome Department of Imaging Neuroscience, University College London, UK. SPM Course, London, May 2005. Overview. Introduction Bayesian inference Segmentation and Normalisation Gaussian Prior and Likelihood

740 views • 33 slides

Markov Random Fields with Efficient Approximations

Markov Random Fields with Efficient Approximations. Yuri Boykov, Olga Veksler, Ramin Zabih Computer Science Department CORNELL UNIVERSITY. Introduction. MAP-MRF approach (Maximum Aposteriori Probability estimation of MRF)

576 views • 30 slides

Ferret: RFID Localization for Pervasive Multimedia

752 views • 29 slides

Content-based Recommendation Systems

Content-based Recommendation Systems. Group: Tippy. Group Members. Nerin George Goal Models + Presentation Deepan Murugan Domain Models + Presentation Thach Tran Strategies + Presentation. Outline. Introduction Item Representation User Profiles Manual Recommendation Methods

1.26k views • 29 slides

Bayesian Learning

Bayesian Learning. Rong Jin. Outline. MAP learning vs. ML learning Minimum description length principle Bayes optimal classifier Bagging. Maximum Likelihood Learning (ML). Find the model that best model by maximizing the log-likelihood of the training data Logistic regression

605 views • 27 slides

Behavioural Finance

784 views • 24 slides

Statistical Natural Language Processing

Statistical Natural Language Processing. What is NLP?. Natural Language Processing (NLP), or Computational Linguistics, is concerned with theoretical and practical issues in the design and implementation of computer systems for processing human languages

930 views • 19 slides

Lecture 1: Basic Statistical Tools

800 views • 19 slides