D. Waltz

发表

Understanding Line drawings of Scenes with Shadows

David L. Waltz, D. Waltz, 1975 .

Hybrid system for protein secondary structure prediction.

J. Mesirov, D. Waltz, X. Zhang, 1992, Journal of molecular biology.

Classifying news stories using memory based reasoning

David L. Waltz, Brij M. Masand, Gordon Linoff, 1992, SIGIR '92.

Generating Semantic Descriptions From Drawings of Scenes With Shadows

David L. Waltz, D. Waltz, 1972 .

Toward memory-based reasoning

David L. Waltz, Craig Stanfill, D. Waltz, 1986, CACM.

Connectionist models and their implications: readings from cognitive science

J. Feldman, D. Waltz, 1988 .

Protein Structure Prediction by Memory-Base Reasoning,

J. Mesirov, D. Waltz, Xiru Zhang, 1988 .

Massively Parallel Artificial Intelligence

Hiroaki Kitano, James A. Hendler, Dan I. Moldovan, 1991, IJCAI.

AAAI-98 Presidential Address: The Importance of Importance

David L. Waltz, D. Waltz, 1999, AI Mag..

Artificial Intelligence: Realizing the Ultimate Promises of Computing

David L. Waltz, D. Waltz, 1997, AI Mag..

Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation

Jordan B. Pollack, David L. Waltz, D. Waltz, 1988, Cogn. Sci..

On the function of mental imagery

D. Waltz, 1979, Behavioral and Brain Sciences.

An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2

Jill P. Mesirov, David L. Waltz, Michael McKenna, 1989, NIPS.

g A Theory of the Learnable

D. Waltz, 1984 .

Artificial Intelligence A probabilistic framework for memory-based reasoning

S. Salzberg, S. Kasif, D. Waltz, 1997 .

Designing Patient-Specific Seizure Detectors From Multiple Frequency Bands of Intracranial EEG Using Support Vector Machines

D. Waltz, C. Schevon, R. Emerson, 2010 .

TOWARD A FULLER AND MORE USEFUL ACCOUNT OF MENTAL IMAGERY

D. Waltz, 1993 .

TOWARD MEMORY-BASED REASONING The intensive use of memory to recall specific episodes from the past rather than rules-should be the foundation of machine reasoning .

D. Waltz, C. Stanfill, CRAIG STANFILL, 2007 .

The holes in points

D. Waltz, M. Dorfman, 1983, Behavioral and Brain Sciences.

Relating Images, Concepts, and Words

D. Waltz, 1993 .

Artificial Intelligence Related Research on the Connection Machine

David L. Waltz, Craig Stanfill, D. Waltz, 1988, FGCS.

Letters to the Editor

Marie desJardins, David L. Waltz, D. Waltz, 2000, AI Mag..

COMMERCIAL APPLICATIONS OF MASSIVELY PARALLEL SUPERCOMPUTERS FOR THE 90 ' S osmmmon

D. Waltz, 2022 .

Panel on application of language processing systems

Yorick Wilks, Makoto Nagao, Donald E. Walker, 1979, IJCAI 1979.

PHENOMENOLOGICALLY PLAUSIBLE PARSIBJG

D. Waltz, J. Pollack, 1999 .

Applications for Parallel Symbolic Computation (panel)

Akinori Yonezawa, David L. Waltz, Takashi Chikayama, 1992, Parallel Symbolic Computing.

Panel Discussion II: Applications for parallel symbolic computation

David L. Waltz, Takashi Chikayama, Robert H. Halstead, 1992 .

Understanding Scenes With Shadows

David L. Waltz, D. Waltz, 1971 .

Parallel Interpretation of Natural Language

Jordan B. Pollack, David L. Waltz, D. Waltz, 1984, FGCS.

Massivley Parallel AI

David L. Waltz, D. Waltz, 1990, AAAI.

UNDERSTANDING NOVEL LANGUAGE††This work was supported in part by the Office of Naval Research under Contract N00014-75-C-0612, and in part by the National Science Foundation under Grants NSF 1ST 81-17238 and NSF 1ST 81-20254.

Gerald DeJong, David L. Waltz, D. Waltz, 1983 .

Memory-based reasoning

David L. Waltz, D. Waltz, 1998 .

Boostinq, support vector machines and reinforcement learning in computer-aided lean management

Philip M. Long, David L. Waltz, Roger N. Anderson, 2005 .

Data mining: a long-term dream

David L. Waltz, Se Jung Hong, D. Waltz, 1999, IEEE Intelligent Systems and their Applications.

Design of an English language data base question-answering system: (506152009-021)

David L. Waltz, D. Waltz, 1976 .

Statistical methods, artificial intelligence, and information retrieval

David L. Waltz, Craig Stanfill, D. Waltz, 1992 .

Penrose's grand unified mystery

James Pustejovsky, David L. Waltz, D. Waltz, 1990, Behavioral and Brain Sciences.

Parallel Processing and Information Retrieval

David L. Waltz, D. Waltz, 1989, SIGIR.

Natural and Artificial Parallel Computation: Proceedings of the Fifth NEC Symposium

David L. Waltz, D. Waltz, 1996 .

TINLAP-2 : Theoretical Issues in Natural Language Processing-2, University of Illinois at Urbana-Champaign, July 25-27, 1978

David L. Waltz, D. Waltz, Tinlap, 1978 .

Semantic Structures (RLE Linguistics B: Grammar) : Advances in Natural Language Processing

David L. Waltz, D. Waltz, 2014 .

Neural networks and human intelligence: Ronald J. Macgregor. Neural and Brain Modeling. San Diego, CA: Academic Press, 1987. Pp. xii + 643. $95.00 (cloth), $ 37.50 (paper)

David L. Waltz, Ron Sun, D. Waltz, 1990 .

On the Interdependence of Language and Perception

D. Waltz, 1978, CL.

Shadows and Cracks

Mark Dowson, David Waltz, D. Waltz, 1971 .

What Corners Look Like

Mark Dowson, David Waltz, D. Waltz, 1971 .

Automatic Derivation of Substructures Yields Novel Structural Building Blocks in Globular Proteins

Jacquelyn S. Fetrow, David L. Waltz, William A. Rennie, 1993, ISMB.

Artificial intelligence.

D L Waltz, D. Waltz, 1982, Scientific American.

Evaluating Machine Learning for Improving Power Grid Reliability

Haimonti Dutta, Gail E. Kaiser, David L. Waltz, 2011 .

A Probabilistic Framework for Memory-Based Reasoning

David W. Aha, Simon Kasif, Steven Salzberg, 1998, Artif. Intell..

Trading MIPS and memory for knowledge engineering

David L. Waltz, Robert H. Creecy, Brij M. Masand, 1992, CACM.

The prospects for building truly intelligent machines

David L. Waltz, D. Waltz, 1989 .

An English language question answering system for a large relational database

David L. Waltz, D. Waltz, 1978, CACM.

Understanding and Representing Natural Language Meaning.

David L. Waltz, Rick Dinitz, David Farwell, 1982 .

Event Shape Diagrams

David L. Waltz, D. Waltz, 1982, AAAI.

A Knowledge-Based Approach to Language Processing : A Progress Report

David L. Waltz, D. Waltz, Yigal Arens, 2002 .

Visual Analog Representations for Natural Languages Understanding

David L. Waltz, Lois Boggess, D. Waltz, 1979, IJCAI.

On the Interdependence of Language and Perception

David L. Waltz, D. Waltz, 1978, TINLAP.

Connectionist Models: Not Just a Notational Variant Not a Panacea

David L. Waltz, D. Waltz, 1987, TINLAP.

Applications of the Connection Machine

David L. Waltz, D. Waltz, 1990, Computer.

On reasoning from data

Simon Kasif, David L. Waltz, S. Kasif, 1995, CSUR.

Letters to the Editor

D. Waltz, M. Desjardins, 1984, AI Magazine.

Natural language access to a large data base: an engineering approach

David L. Waltz, D. Waltz, 1975, IJCAI 1975.

Understanding Scene Descriptions as Event Simulations

David L. Waltz, D. Waltz, 1980, ACL.

Vehicle Electrification: Status and Issues

David L. Waltz, Andrew Chu, Albert Boulanger, 2011, Proceedings of the IEEE.

Discovering Characterization Rules from Rankings

David L. Waltz, Bert Huang, Ansaf Salleb-Aouissi, 2009, 2009 International Conference on Machine Learning and Applications.

Toward Actionable Support Vector Machines: A Ranking-based Approach

David L. Waltz, Ansaf Salleb-Aouissi, Bert Huang, 2008 .

Natural language interfaces

David L. Waltz, D. Waltz, 1977, SGAR.

On Understanding Poetry

David L. Waltz, D. Waltz, 1975, TINLAP.

Phenomenologically Plausible Parsing

Jordan B. Pollack, David L. Waltz, D. Waltz, 1984, AAAI.

Machine Learning for the New York City Power Grid

Haimonti Dutta, David L. Waltz, Cynthia Rudin, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Local Induction of Decision Trees: Towards Interactive Data Mining

Simon Kasif, Steven Salzberg, David L. Waltz, 1996, KDD.

Planes: a data base question-answering system

David L. Waltz, Bradley A. Goodman, D. Waltz, 1977, SGAR.

Artificial Intelligence, Linguistics, Neuroscience, Philosophy, Psychology

Geoffrey E. Hinton, Edward E. Smith, Y. Shoham, 1996 .

Vehicle Electrification: Status and Issues Current development and the challenges and opportunities for global adoption of electric vehicles are explored in this paper; these vehicles empower people to effect change.

David L. Waltz, Albert Boulanger, Suzanne Maxx, 2011 .

Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis

Philip M. Long, David L. Waltz, Frank Doherty, 2006, AAAI.