David Waltz's Homepage

 

Selected Papers

• Ansaf Salleb-Aouissi, Bert C. Huang and David L. Waltz; Vers des Machines a Vecteurs de Support "Actionables": Une Approche Fondee sur le Classement (PDF)To appear in Knowledge extraction and management (Extraction et Gestion des Connaissances, EGC'2008), Sophia Antipolis, France
• Gross, P., A. Boulanger, M. Arias, D. Waltz, P. Long, C. Lawson, R. Anderson, M. Koenig, M. Mastrocinque, W. Fairechio, J. Johnson, S. Lee, F. Doherty and A. Kressner. “Predicting Electricity Distribution Feeder Failures using Machine Learning Susceptibility Analysis.”(PDF)  Proceedings of IAAI-06 (Innovative Applications of Artificial Intelligence), Boston, MA, July 2006, 1705-1711.
• Waltz, D. L. “AI’s 10 to Watch,” (PDF) IEEE Intelligent Systems 21, 3, May/June 2006, 5
• Waltz, D. L. “Evolution, Sociobiology, and the Future of Artificial Intelligence,”(PDF) IEEE Intelligent Systems 21, 3, May/June 2006, 66-69.
• Waltz, D.L. “An Opinionated History of AAAI”(PDF), AI Magazine 26, 4,  Winter 2005, 45-47.
• Anderson, R., A. Boulanger, P. Gross, P. Long and D. Waltz. “Boosting, Support Vector Machines and Reinforcement Learning in Lean Energy Management.” Oil and Gas Journal 103, 18, May 2005, 41-48.
• Waltz, D. L. “The Importance of Importance: AAAI Presidential Address”(PDF),  AI Magazine, Summer 1999.
• Simon Kasif, Steven Salzberg, David Waltz, John Rachlin, and David Aha. A Probabilistic Framework for Memory-Based Reasoning (PDF), Artificial Intelligence, 104(1-2):287-311,1998.
• David L. Waltz. Artificial Intelligence: Realizing the Ultimate Promises of Computing in Computing Research: A National Investment for Leadership in the 21st Century, CRA (Computing Research Association), 1997. Reprinted in AI Magazine, 18, 3, Fall 1997, 49-52.
• Truxton Fulton, Simon Kasif, Steven Salzberg, and David Waltz. Local Induction of Decision Trees: Towards Interactive Data Mining.(PDF) Proceedings, Second International Conference on Knowledge Discovery & Data Mining, Portland, OR, Aug. 1996, 14-19.
• David Waltz and Simon Kasif. On Reasoning from Data (PDF), ACM Computing Surveys 27, 3, September 1995, 356-359. Copyright(c)1995 by ACM, Inc.
• Zhang, X., J. Fetrow, W.A. Rennie,  D.L. Waltz, & G. Berg. "Automatic Derivation of Substructures Yields Novel Structural Building Blocks in Globular Proteins,"(PDF) in L. Hunter, D. Searls, & J. Shavlik (eds.) Proceedings of the First International Conference on Intelligent Systems for Molecular Biology, 1993, 438-446.
• David L. Waltz. Massively Parallel AI.(PDF) International Journal of High Speed Computing, 5, 3, (1993), 491-501.
• Robert Creecy, Brij Masand, Stephen Smith and David Waltz. Trading MIPS and Memory for Knowledge Engineering.(PDF) Communications of the ACM, 35, 8,, August 1992, 48-64.
• Brij Masand, Gordon Linoff, and David Waltz. Classifying News Stories Using Memory Based Reasoning.(PDF) Proceedings of the 15th Annual ACM/SIGIR Conference, Copenhagen, Denmark, 1992, 59-65.
• Xiru Zhang, Jill Mesirov and David L. Waltz. Hybrid System for Protein Structure Prediction.(PDF) Journal of Molecular Biology, 225 (1992), 1049-1063.
• David L. Waltz. Eight Principles for an Intelligent Robot.(PDF) In S. Wilson and J. Meyer (eds.)SAB-90: Simulations of Animal Behavior, MIT Press, 1990, 462-464.
• David L. Waltz. The Prospects for Building Truly Intelligent Machines(PDF), Daedalus 117, 1, Winter 1988, 191-212. Also reprinted in S. Graubard (ed.) The Artificial Intelligence Debate: False Starts, Real Foundations, Cambridge, MA: MIT Press, 1988.
• Craig Stanfill and David L. Waltz. Toward Memory-Based Reasoning.(PDF) Communications of the ACM 29, 12, December 1986, 1213-1228.
• David L. Waltz and Jordan Pollack. Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation,(PDF) Cognitive Science 9, 1, January-March 1985, 57-84.
• D.L.Waltz, Automata Theoretic Approach to Visual Information Processing, in R.T. Yeh (ed.) Applied Computation Theory, Prentice-Hall, 1976, 468-529.
• D.L. Waltz, Understanding Line Drawings of Scenes with Shadows,(PDF) in P.H. Winston (ed.) The Psychology of Computer Vision, McGraw-Hill, 1975, 19-92.