'Classifiers' diaporamas de présentation

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Bayesian Decision Theory (Sections 2.1-2.2)

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Design of Hierarchical Classifiers for Efficient and Accurate Pattern Classification

Design of Hierarchical Classifiers for Efficient and Accurate Pattern Classification. M N S S K Pavan Kumar. Advisor : Dr. C. V. Jawahar. Pattern Classification. Given a sample x Find the label corresponding to it

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Security services and the IXP

Security services and the IXP. Wu-chang Feng wuchang@cse.ogi.edu Systems Software Laboratory Dept. of Computer Science and Engineering. About the project. 6 months old Just started, pardon the vapor Supported by Intel (12/2001) and ETIC (4/2002) Graduate Students

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Using corpora to study Classifiers in Mandarin Chinese

Using corpora to study Classifiers in Mandarin Chinese. Richard Xiao z.xiao@lancaster.ac.uk. Chinese corpus linguistics. In relation to English, Chinese has a much shorter history of using corpora Sinica Balanced Corpus of Chinese The first annotated corpus of Mandarin

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SET (6)

SET (6). Prof. Dragomir R. Radev radev@umich.edu. Vector space classification. x2. topic2. topic1. x1. Decision surfaces. x2. topic2. topic1. x1. Decision trees. x2. topic2. topic1. x1. Classification using decision trees. Expected information need

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Taxonomic classification for web-based videos

Taxonomic classification for web-based videos. Author: Yang Song et al. (Google) Presenters: Phuc Bui & Rahul Dhamecha. 1. Introduction. Taxonomic classification for web-based videos. Web-based Video Classification. Web-based Video (e.g. Youtube )

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Ontology Alignment

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Ensembles

Ensembles. Ensemble Methods. Ensemble methods construct a set of classifiers from the training data Predict class label of previously unseen records by aggregating predictions made by multiple classifiers In Olympic Ice-Skating you have multiple judges? Why?

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Classifier Review

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Boosting

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Conditional Random Fields

Conditional Random Fields. A form of discriminative modelling Has been used successfully in various domains such as part of speech tagging and other Natural Language Processing tasks Processes evidence bottom-up Combines multiple features of the data

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The Keys to successful American Sign Language Usage

The Keys to successful American Sign Language Usage. Classifiers. Descriptive Classifiers (DCL) Semantic Classifiers (SCL) Locative Classifiers (LCL) Plural Classifiers (PCL) Instrument Classifiers (ICL) Body Classifiers/Mime (BCL) Bodypart Classifiers (BPCL) Element Classifier (ECL).

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An Example of Course Project

An Example of Course Project. Face Identification. Agenda. Why Face Identification?. Useful Interesting Creating own dataset for extra credits. Data set. The Extended Yale Face Database B 2414 images of 38 human Own data 100 images of 4 people. Classifiers.

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Gender Classification of Japanese Authors

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A Balanced Ensemble Approach to Weighting Classifiers for Text Classification

A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. Advisor : Dr. Hsu Presenter : Yu-San Hsieh Author : Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu.

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User Selection of Clusters and Classifiers in Behavior Based Access Control

User Selection of Clusters and Classifiers in Behavior Based Access Control. BBAC uses statistical machine learning techniques (clustering and classification) to make predictions about the intent of actors establishing TCP connections and HTTP requests.

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Title Context-based Term Frequency Assessment for Text Classification (by Rey-Long Liu) Goal

Title Context-based Term Frequency Assessment for Text Classification (by Rey-Long Liu) Goal Improving various kinds of text classifiers by term context recognition (TCR) Method Employing TCR to refine term frequency (TF) assessment Applying the TF assessment to various classifiers Result

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