Machine Learning: Neural and Statistical Classification

Machine Learning: Neural and Statistical Classification

English | Aug. 28, 2009 | ISBN: 8188689734 | 298 Pages | PDF | 2 MB

This Volume Was Written As A Result of The statlog Project, Funded Under The Esprit Programme of The European Union. In Addition to The Experimental Results, The Project Had The Desirable Effect of Encouraging Collaboration, Overdue In This Field, Between Workers In Different Disciplines. The Intersection of, And Interaction Between Machine Learning And Statistics Is Now ARapidly Growing Area of Interest. There Are Obvious Areas of Common Research, The Main One Being Classification, But Communication Has Been Hampered By Use of Different Language And Terminology. In This Volume, Statisticians, Ai Workers In Machine Learning, And Neural Net Specialists Have Come Together In New Patterns of Interaction And Collaboration. We Offer This Book As A Source of Useful Information For Workers In Medicine, Agriculture, Industry, Finance And Other Applied Studies. We Also Hope That It May Contribute To The Spread of Similar Collaborations In The Scientific Community At Large, As Well As Further Research At The Interface of Machine Learning And Statistics.

Download:

http://longfiles.com/tqemv64w1oe4/8188689734.pdf.html

[Fast Download] Machine Learning: Neural and Statistical Classification


Ebooks related to "Machine Learning: Neural and Statistical Classification" :
Creative Commons: a user guide
Fourier Analysis
Voice Communication With Computers: Conversational Systems
Collaborative Networks in the Internet of Services
Conversational Writing: A Multidimensional Study of Synchronous and Supersynchronous Computer-Mediat
Wavelets and Subband Coding
Human Factors and Voice Interactive Systems, Second Edition
Optical Code Division Multiple Access Communication Networks: Theory and Applications (ܧ٧)
Hacking MythTV (ExtremeTech)
Take Control of Your AirPort Network
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.