'Document vectors' presentation slideshows

Day 2

Day 2. Agenda. Parallelism basics Parallel machines Parallelism again High Throughput Computing Finding the right grain size. One thing to remember. Easy. Hard. Seeking Concurrency. Data dependence graphs Data parallelism Functional parallelism Pipelining. Data Dependence Graph.

1.66k views • 147 slides

Lecture 7: Vector (cont.)

894 views • 77 slides

Parallel Programming in C with MPI and OpenMP

Parallel Programming in C with MPI and OpenMP. Michael J. Quinn. Chapter 1. Motivation and History. Outline. Motivation Modern scientific method Evolution of supercomputing Modern parallel computers Seeking concurrency Data clustering case study Programming parallel computers.

685 views • 50 slides

Hypertext Databases and Data Mining (SIGMOD 1999 Tutorial)

Hypertext Databases and Data Mining (SIGMOD 1999 Tutorial). Soumen Chakrabarti Indian Institute of Technology Bombay http://www.cse.iitb.ernet.in/~soumen http://www.cs.berkeley.edu/~soumen soumen@cse.iitb.ernet.in. The Web. 350 million static HTML pages, 2 terabytes

583 views • 50 slides

Advanced Multimedia

575 views • 49 slides

Information Representation: Vector Space and Beyond

Information Representation: Vector Space and Beyond. Lecture 5. Outline. Representation Big Picture Beyond Boolean Leveraging Natural Word Distribution Standard Word Weighting Vectors-Space (Foundation) Refinement Relevance Feedback Probabilistic Approach Stop word list Thesaurus

643 views • 48 slides

http://www.xkcd.com/655/

531 views • 37 slides

Multilingual Information Retrieval using GHSOM

Multilingual Information Retrieval using GHSOM. Hsin-Chang Yang Associate Professor Department of Information Management National University of Kaohsiung. Outline. Introduction Document Processing and Clustering by GHSOM Association Discovery and MLIR Experimental Result Conclusions.

424 views • 28 slides

A Multilingual Hierarchy Mapping Method Based on GHSOM

A Multilingual Hierarchy Mapping Method Based on GHSOM. Hsin-Chang Yang Associate Professor Department of Information Management National University of Kaohsiung. Outline. Introduction Document Processing and Clustering by GHSOM Association Discovery Experimental Result Conclusions.

357 views • 25 slides

The Mathematics of Information Retrieval

The Mathematics of Information Retrieval. 11/21/2005 Presented by Jeremy Chapman , Grant Gelven and Ben Lakin. Acknowledgments. This presentation is based on the following paper:

232 views • 23 slides

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.

310 views • 16 slides

Project 1: Text Classification by Neural Networks

348 views • 16 slides

Application of Variable Length N -gram Vectors to Monolingual and Bilingual Information Retrieval

Application of Variable Length N -gram Vectors to Monolingual and Bilingual Information Retrieval. Daniel Gayo Avello (University of Oviedo). Introduction. blindLight is a modified vector model with applications to several NLP tasks. Goals for this experience:

199 views • 13 slides

Multi-Abstraction Retrieval

143 views • 1 slides