Open access peer-reviewed chapter

Comprehensive and Scalable Appraisals of Contemporary Documents

By William McFadden, Rob Kooper, Sang-Chul Lee and Peter Bajcsy

Published: February 1st 2010

DOI: 10.5772/8608

Downloaded: 1435

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

William McFadden, Rob Kooper, Sang-Chul Lee and Peter Bajcsy (February 1st 2010). Comprehensive and Scalable Appraisals of Contemporary Documents, Application of Machine Learning, Yagang Zhang, IntechOpen, DOI: 10.5772/8608. Available from:

chapter statistics

1435total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Building an Application - Generation of �Items Tree’ Based on Transactional Data

By Mihaela Vranic, Damir Pintar and Zoran Skocir

Related Book

First chapter

Introduction to Machine Learning

By Taiwo Oladipupo Ayodele

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us