The Trusted Leader in High Performance Computing


  • Data Mining with MLC++. A broad view with a large comparison of many algorithms in MLC++ on the large UC Irvine datasets. Received the IEEE Tools with Artificial Intelligence Best Paper Award, 1996 compressed postscript (280K).

  • Manual for MLC++ utilities postscript, HTML (not perfect).

  • A short description from the Tools with AI '94 conference is available in postscript.

  • A long (slightly old) description is available in postscript (1048K).

  • A tutorial (updated 1/95) is available in postscript (200K).

  • An overview of the available classes is available in postscript (190K).

  • Color General Logic Diagrams are available in Color GLDs.

    More information about coding standards are available here.