Copyright

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Copyright (c) 1996-2006 by Decision Systems Laboratory, University of Pittsburgh. All rights reserved. No part of this manual may be reproduced or transmitted in any form or by any means, electronic or mechanical, without an explicit written permission of Decision Systems Laboratory.

We would like to acknowledge the following trademarks:

  • Netica and Norsys are trademarks of Norsys Software Corp.
  • Hugin is a trademark of Hugin, A.G.
  • Ergo is trademark of Noetic Systems, Inc.
  • Microsoft, Microsoft Agent, Active-X, Windows 95, Windows 98, Windows NT, Windows 2000, and Windows XP are registered trademarks of Microsoft, Inc.

Even though we are making SMILE, SMILELEARNING, SMILE wrappers available to the community, the programs and all accompanying graphics and manuals are copyrighted (1996-2006) by the Decision Systems Laboratory, University of Pittsburgh and cannot be copied or distributed without our explicit permission. The only legal way of obtaining the programs is directly from the Decision Systems Laboratory, for example by downloading them from our Web site. We require that interested individuals contact us directly or visit our web site for the most recent copy of the programs. This ensures the quality and completeness of the programs and accompanying manuals. It also allows us to keep track of who is using the programs and to notify the users about updates and new releases.

The programs are made available in a compiled form, free of charge for any use (this permission includes explicitly potential commercial use).

We support teachers interested in using SMILE wrappers in other schools and departments and maintain shareware resources, such as network repositories, that are useful in teaching (please visit GeNIe & SMILE Web site for more information). Both GeNIe and SMILE are also useful in research projects. To get credit for our work, we ask that all publications of research or applications in which GeNIe or SMILE were used contain an explicit acknowledgment to that effect. Examples of simple acknowledgments are listed below:

  • The models described in this paper were created using the GeNIe modeling environment developed by the Decision Systems Laboratory of the University of Pittsburgh (http://dsl.sis.pitt.edu/).
  • The core of our implementation is based on the SMILE reasoning engine for graphical probabilistic models, contributed to the community by the Decision Systems Laboratory of the University of Pittsburgh (http://dsl.sis.pitt.edu/).
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