| Name | Type | Details |
| The Scientists and Engineer's Guide to Digital Signal Processing | Book |
Description: A full textbook on DSP theory and application.
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Author(s): Smith, Steven W. License: Commercial Format: Paper URL: http://www.dspguide.com/ pdfbook.htm Limitations: You can order a paper copy of Dr. Smith's book for $64 at his web site. You can also download all chapters of the book in PDF format at no charge. ReviewText: Every bit as detailed as the texts you used in college - this IS a college text. Chapter headings include:
Keywords: ADC , DAC , DSP , statistics , Sampling Theorem , linear systems , convolution , Fourier transform , filters , Chebyshev , companding , imaging , neural networks , data compression , Laplace transform , Z-transform Submitter: EE HomePage Editorial Staff Affiliation: Reader xml_ID: 1146195164 (single entry page) |
| Machine Learning, Neural and Statistical Classification | Book |
Description: Originally published in 1994. The books introduction states: "The aim of this book is to provide an up-to-date review of different approaches to classification,
compare their performance on a wide range of challenging data-sets, and draw
conclusions on their applicability to realistic industrial problems."
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Author(s): Michie, D. & Spiegelhalter, D.J. & Taylor, C.C. License: Commercial Format: PDF, Other Price: free online URL: http://www.maths.leeds.ac.uk/ ~charles/ statlog/ Limitations: Available as a single, 298 page, PDF. The PDF is not hyperlinked. ReviewText: Deals with machine learning, neural networks, statistical methods, rule-based approaches, decision trees, and much more. The paper version is apparently out of print. Expertise level: graduate Keywords: neural networks , machine learning , statistical , rule-based , decision trees , linear discriminants , density estimation , linear regression , error rates Submitter: EE HomePage Editorial Staff Affiliation: None xml_ID: 1147928473 (single entry page) |
| Introduction to Machine Learning | Book |
Description: The author's "intention was to pursue a middle ground between theory and practice. The notes concentrate on the important ideas in machine learning---it is neither a handbook of practice nor a compendium of theoretical proofs. My goal was to give the reader sufficient preparation to make the extensive literature on machine learning accessible."
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Author(s): Nilsson, Nils J. License: Some Restrictions (includes GNU) Format: PDF Price: free online URL: http://ai.stanford.edu/ ~nilsson/ mlbook.html Limitations: This is an early draft of a proposed textbook by Nils J. Nilsson of the Robotics Laboratory at Stanford University. Copyright date is 1996. ReviewText: Contents include:
Keywords: programming , neural networks , machine learning , decision trees , backpropagation , statistical learning , inductive logic programming , computational learning theory Submitter: EE HomePage Editorial Staff Affiliation: None xml_ID: 1148177488 (single entry page) |
| Elementary Concepts in Statistics | Book |
Description: This textbook by StatSoft is available as a free interactive web-site, as well as a traditional paper text. The StatSoft site says "This Electronic Statistics Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics and forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others."
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Author(s): StatSoft License: Commercial Format: Paper, Video Price: $80 for paper version URL: http://www.statsoft.com/ textbook/ stathome.html Keywords: statistics , neural networks , regression , anova , machine learning , linear regression , reliability , data mining , distribution fitting , experimental design Submitter: EE HomePage Editorial Staff Affiliation: None xml_ID: 1199757616 (single entry page) |
| Name | Type | Details |
| Joone - Java Object Oriented Neural Engine | Neural Network Framework |
Description: A Java-based framework for development of neural networks.
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License: Open Source, GNU or similar Price: free URL: http://www.jooneworld.com/ OSs: Other, Source Available ReviewText: Supports a variety of supervised and unsupervised learning architectures, modular neural networks, scripting for custom behavior, etc.. There is an associated site on SourceForge which is linked to this page. Keywords: neural networks , supervised learning , unsupervised learning , FFNN , TDNN , gradient descent , back-propagation , Kohonen SOMs Submitter: EE HomePage Editorial Staff Affiliation: None xml_ID: 1151464787 (single entry page) |
No matching Orgs were found.