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Sheepdog: Learning Procedures for Technical Support Tessa Lau, Lawrence Bergman, Vittorio Castelli, Daniel Oblinger IBM T.J. Watson Research Center P.O. Box 704 Yorktown Heights, NYUSA
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Document Date: 2004-02-21 13:50:13


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File Size: 157,88 KB

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IBM / Neural Networks / MIT Press / AAAI Press / HMM / /

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Portugal / /

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University of Waikato / /

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demonstration systems / nearest-neighbor learning algorithm / automated solutions / sequence-processing domain / strawman algorithm / forward-backward algorithm / configured systems / Internet Protocol / long-term solution / sequence processing / desired network / learning algorithm / learning algorithms / /

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UNIX / Microsoft Windows / /

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MIT / My Command / University of Waikato / US Federal Reserve / IEEE Computer Society / /

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H. Lieberman / Lawrence R. Rabiner / Allen Cypher / Ai / Andrew Garland / Morgan Kaufmann / Charles Rich / Steven A. Wolfman / Russell Greiner / Pedro Domingos / B.V. Dasarathy / Tessa Lau / Benjamin Korvemaker / Kathy Ryall / Daniel Oblinger / Lawrence Bergman / /

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Sheepdog system / Windows / Sheepdog interface / Sheepdog user interface / Sheepdog / /

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Machine Learning / /

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LAN / Speech Recognition / UNIX / laptop computer / machine learning / operating system / EM algorithm / TCP/IP / ethernet / learning algorithm / DNS / artificial intelligence / Internet Protocol / learning algorithms / modified Baum-Welch algorithm / strawman algorithm / nearest-neighbor learning algorithm / forward-backward algorithm / GUI / /

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