Scott E. Fahlman

According to our database, Scott E. Fahlman authored at least 33 papers between 1974 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Cascade Correlation.

Thomas R. Shultz, Scott E. Fahlman

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2015

Image Retrieval with Textual Label Similarity Features.

Alicia Sagae, Scott E. Fahlman

Intell. Syst. Account. Finance Manag., 2015

Position Paper: Knowledge-Based Mechanisms for Deception.

Scott E. Fahlman

Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014

Sensing, Perceiving, and Understanding Actions.

Juan Carlos López, María J. Santofimia, Jesús Martínez del Rincón, Scott E. Fahlman

Int. J. Distributed Sens. Networks, 2014

2013

Knowledge Resource Development for Identifying Matching Image Descriptions.

Alicia Sagae, Scott E. Fahlman

Proceedings of the KEOD 2013, 2013

2012

Possible-World and Multiple-Context Semantics for Common-Sense Action Planning.

María J. Santofimia, Scott E. Fahlman, Xavier del Toro, Francisco Moya, Juan Carlos López

Proceedings of the Situational Awareness for Assistive Technologies, 2012

2011

A semantic model for actions and events in ambient intelligence.

María J. Santofimia, Scott E. Fahlman, Xavier del Toro, Francisco Moya, Juan Carlos López

Eng. Appl. Artif. Intell., 2011

Parallel and Serial Components in Human-Like Intelligence.

Scott E. Fahlman

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

Using Scone's Multiple-Context Mechanism to Emulate Human-Like Reasoning.

Scott E. Fahlman

Proceedings of the Advances in Cognitive Systems, 2011

2010

Cascade-Correlation.

Thomas R. Shultz, Scott E. Fahlman

Proceedings of the Encyclopedia of Machine Learning, 2010

A Common-Sense Planning Strategy for Ambient Intelligence.

María J. Santofimia, Scott E. Fahlman, Francisco Moya, Juan Carlos López

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

2008

Modeling Mental Contexts and Their Interactions.

Wei Chen, Scott E. Fahlman

Proceedings of the Biologically Inspired Cognitive Architectures, 2008

2007

CMU-AT: Semantic Distance and Background Knowledge for Identifying Semantic Relations.

Alicia Tribble, Scott E. Fahlman

Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

Knowledge-Driven Learning and Discovery.

Benjamin Lambert, Scott E. Fahlman

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

SconeEdit: A Text-guided Domain Knowledge Editor.

Alicia Tribble, Benjamin Lambert, Scott E. Fahlman

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Marker-Passing Inference in the Scone Knowledge-Base System.

Scott E. Fahlman

Proceedings of the Knowledge Science, 2006

Resolving Noun Compounds with Multi-Use Domain Knowledge.

Alicia Tribble, Scott E. Fahlman

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2002

Selling interrupt rights: A way to control unwanted e-mail and telephone calls.

Scott E. Fahlman

IBM Syst. J., 2002

1994

Supercomputing support for advanced biomedical imaging (roundtable).

Scott E. Fahlman, Lowell D. Harris, Clinton S. Potter, Richard A. Robb

Proceedings of the Proceedings Supercomputing '94, 1994

1993

Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence.

Benjamin W. Wah, Thomas S. Huang, Aravind K. Joshi, Dan I. Moldovan, Yiannis Aloimonos, Ruzena Bajcsy, Dana H. Ballard, Doug DeGroot, Kenneth A. De Jong, Charles R. Dyer, Scott E. Fahlman, Ralph Grishman, Lynette Hirschman, Richard E. Korf, Stephen E. Levinson, Daniel P. Miranker, N. H. Morgan, Sergei Nirenburg, Tomaso A. Poggio, Edward M. Riseman, Craig Stanfil, Salvatore J. Stolfo, Steven L. Tanimoto, Charles C. Weems

IEEE Trans. Knowl. Data Eng., 1993

1992

Learning with limited numerical precision using the cascade-correlation algorithm.

Markus Höhfeld, Scott E. Fahlman

IEEE Trans. Neural Networks, 1992

Probabilistic rounding in neural network learning with limited precision.

Markus Höhfeld, Scott E. Fahlman

Neurocomputing, 1992

1990

The Recurrent Cascade-Correlation Architecture.

Scott E. Fahlman

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

The Cascade-Correlation Learning Architecture.

Scott E. Fahlman, Christian Lebiere

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988

What can Massively Parallel Architectures Bring to AI?

Scott E. Fahlman

Proceedings of the AI '88: 2nd Australian Joint Artificial Intelligence Conference, 1988

1987

Connectionist Architectures for Artificial Intelligence.

Scott E. Fahlman, Geoffrey E. Hinton

Computer, 1987

1985

Parallel processing in artificial intelligence.

Scott E. Fahlman

Parallel Comput., 1985

1984

The Design of an Instruction Set for Common Lisp.

Skef Wholey, Scott E. Fahlman

Proceedings of the 1984 ACM Conference on LISP and Functional Programming, 1984

1983

Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines.

Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski

Proceedings of the National Conference on Artificial Intelligence, 1983

1981

Cancellation in a Parallel Semantic Network.

Scott E. Fahlman, David S. Touretzky, Walter van Roggen

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

1980

Computing Facilities for AI: A Survey of Present and Near-Future Options.

Scott E. Fahlman

AI Mag., 1980

Design Sketch for a Million-Element NETL Machine.

Scott E. Fahlman

Proceedings of the 1st Annual National Conference on Artificial Intelligence, 1980

1974

A Planning System for Robot Construction Tasks.

Scott E. Fahlman

Artif. Intell., 1974