'Document frequency' diaporamas de présentation

Multimedia Data Access

Multimedia Data Access. Access to multimedia information must be quick so that retrieval time is minimal. Data access is based on metadata generated for different media composing a database. Metadata must be stored using appropriate index structures to provide efficient access.

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Metasearch Mathematics of Knowledge and Search Engines: Tutorials @ IPAM 9/13/2007

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Resource Discovery Strategies

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CES 514 Data Mining March 11, 2010

CES 514 Data Mining March 11, 2010 Lecture 5: scoring, term weighting, vector space model (Ch 6). Model for ranking documents. Ranked retrieval Zones, parameters in querying Scoring documents Term frequency Collection statistics Weighting schemes Vector space scoring.

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CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan

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SCORING, TERM WEIGHTING AND THE VECTOR SPACE MODEL

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Machine Learning in Practice Lecture 12

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Lecture 6: Scoring, Term Weighting and the Vector Space Model

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Understanding GWAS SNPs

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University of Palestine

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Generating Queries from User-Selected Text

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A Technique For Text Clustering Using A Partition Based Approach Doan Nguyen

A Technique For Text Clustering Using A Partition Based Approach Doan Nguyen. Presentation Outline. Knowledge Retrieval Scenarios Challenges for Clustering of Documents Applicability Assumptions Cluster Analysis Steps An Example Conclusion. Knowledge Retrieval Scenarios.

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Project 1: Machine Learning Using Neural Networks

Project 1: Machine Learning Using Neural Networks. Ver 1.1. Outline. Classification using ANN Learn and classify text documents Estimate several statistics on the dataset. Class 1. Input. Class 2. Class 3. …. Network Structure. CLASSIC3 Dataset. CLASSIC3.

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A Machine Learning Approach for Improved BM25 Retrieval

A Machine Learning Approach for Improved BM25 Retrieval. Krysta M. Svore Microsoft Research One Microsoft Way Redmond, WA 98052 ksvore@microsoft.com. Christopher J. C. Burges Microsoft Research One Microsoft Way Redmond, WA 98052 cburges@microsoft.com.

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Paper By: Yiming Yang, CMU Jan O. Pedersen, Verity, Inc. Presented By: Prerak Sanghvi

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Discussion Class 6

Discussion Class 6. Ranking Algorithms. Discussion Classes. Format: Question Ask a member of the class to answer Provide opportunity for others to comment When answering: Give your name. Make sure that the TA hears it. Stand up Speak clearly so that all the class can hear.

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Focused Crawler

Focused Crawler. Ben Markines Mira Stoilova Fulya Erdinc. Introduction. Based from the paper presented the first week of class Accelerated Focused Crawling through Online Relevance Feedback by Chakrabarti presented by Mark Meiss

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http://www.xkcd.com/628/

http://www.xkcd.com/628/. Results Summaries Spelling Correction. David Kauchak cs160 Fall 2009 adapted from: http://www.stanford.edu/class/cs276/handouts/ lecture3-tolerantretrieval.ppt http://www.stanford.edu/class/cs276/handouts/lecture8-evaluation.ppt. Administrative. Course feedback.

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http://www.xkcd.com/628/

http://www.xkcd.com/628/. Summaries and Spelling Corection. David Kauchak cs458 Fall 2012 adapted from: http://www.stanford.edu/class/cs276/handouts/ lecture3-tolerantretrieval.ppt http://www.stanford.edu/class/cs276/handouts/lecture8-evaluation.ppt. Administrative. Assignment 2

148 views • 0 slides