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ORCIDScott E. Fahlman
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2023
[i1]Jeffrey Chen, Scott E. Fahlman:
Score: A Rule Engine for the Scone Knowledge Base System. CoRR abs/2305.04154 (2023)
2010 – 2019
- 2017
- [r2]Thomas R. Shultz, Scott E. Fahlman:
Cascade Correlation. Encyclopedia of Machine Learning and Data Mining 2017: 171-180 - 2015
- [j11]Alicia Sagae, Scott E. Fahlman:
Image Retrieval with Textual Label Similarity Features. Intell. Syst. Account. Finance Manag. 22(1): 101-113 (2015) - [c19]Scott E. Fahlman:
Position Paper: Knowledge-Based Mechanisms for Deception. AAAI Fall Symposia 2015: 11-14 - 2014
- [j10]Juan Carlos López
, María J. Santofimia, Jesús Martínez del Rincón, Scott E. Fahlman:
Sensing, Perceiving, and Understanding Actions. Int. J. Distributed Sens. Networks 10 (2014) - 2013
- [c18]Alicia Sagae, Scott E. Fahlman:
Knowledge Resource Development for Identifying Matching Image Descriptions. KEOD 2013: 100-108 - 2012
- [p1]María J. Santofimia, Scott E. Fahlman, Xavier del Toro, Francisco Moya, Juan Carlos López:
Possible-World and Multiple-Context Semantics for Common-Sense Action Planning. Situational Awareness for Assistive Technologies 2012: 9-49 - 2011
- [j9]María J. Santofimia, Scott E. Fahlman, Xavier del Toro, Francisco Moya, Juan Carlos López:
A semantic model for actions and events in ambient intelligence. Eng. Appl. Artif. Intell. 24(8): 1432-1445 (2011) - [c17]Scott E. Fahlman:
Using Scone's Multiple-Context Mechanism to Emulate Human-Like Reasoning. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c16]Scott E. Fahlman:
Parallel and Serial Components in Human-Like Intelligence. BICA 2011: 104-109 - 2010
- [c15]María J. Santofimia, Scott E. Fahlman, Francisco Moya, Juan Carlos López:
A Common-Sense Planning Strategy for Ambient Intelligence. KES (2) 2010: 193-202 - [r1]Thomas R. Shultz, Scott E. Fahlman:
Cascade-Correlation. Encyclopedia of Machine Learning 2010: 139-147
2000 – 2009
- 2008
- [c14]Wei Chen, Scott E. Fahlman:
Modeling Mental Contexts and Their Interactions. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 54-59 - 2007
- [c13]Benjamin Lambert, Scott E. Fahlman:
Knowledge-Driven Learning and Discovery. AAAI 2007: 1880-1881 - [c12]Alicia Tribble, Scott E. Fahlman:
CMU-AT: Semantic Distance and Background Knowledge for Identifying Semantic Relations. SemEval@ACL 2007: 121-124 - 2006
- [c11]Alicia Tribble, Scott E. Fahlman:
Resolving Noun Compounds with Multi-Use Domain Knowledge. FLAIRS 2006: 122-127 - [c10]Scott E. Fahlman:
Marker-Passing Inference in the Scone Knowledge-Base System. KSEM 2006: 114-126 - [c9]Alicia Tribble, Benjamin Lambert, Scott E. Fahlman:
SconeEdit: A Text-guided Domain Knowledge Editor. HLT-NAACL 2006 - 2002
- [j8]Scott E. Fahlman:
Selling interrupt rights: A way to control unwanted e-mail and telephone calls. IBM Syst. J. 41(4): 759- (2002)
1990 – 1999
- 1994
- [c8]Scott E. Fahlman, Lowell D. Harris, Clinton S. Potter, Richard A. Robb:
Supercomputing support for advanced biomedical imaging (roundtable). SC 1994: 538-539 - 1993
- [j7]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:
Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence. IEEE Trans. Knowl. Data Eng. 5(1): 138-154 (1993) - 1992
- [j6]Markus Höhfeld, Scott E. Fahlman:
Probabilistic rounding in neural network learning with limited precision. Neurocomputing 4(4): 291-299 (1992) - [j5]Markus Höhfeld, Scott E. Fahlman:
Learning with limited numerical precision using the cascade-correlation algorithm. IEEE Trans. Neural Networks 3(4): 602-611 (1992) - 1990
- [c7]Scott E. Fahlman:
The Recurrent Cascade-Correlation Architecture. NIPS 1990: 190-196
1980 – 1989
- 1989
- [c6]Scott E. Fahlman, Christian Lebiere:
The Cascade-Correlation Learning Architecture. NIPS 1989: 524-532 - 1988
- [c5]Scott E. Fahlman:
What can Massively Parallel Architectures Bring to AI? Australian Joint Conference on Artificial Intelligence 1988: 7-11 - 1987
- [j4]Scott E. Fahlman, Geoffrey E. Hinton:
Connectionist Architectures for Artificial Intelligence. Computer 20(1): 100-109 (1987) - 1985
- [j3]Scott E. Fahlman:
Parallel processing in artificial intelligence. Parallel Comput. 2(3): 283-286 (1985) - 1984
- [c4]Skef Wholey, Scott E. Fahlman:
The Design of an Instruction Set for Common Lisp. LISP and Functional Programming 1984: 150-158 - 1983
- [c3]Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski:
Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. AAAI 1983: 109-113 - 1981
- [c2]Scott E. Fahlman, David S. Touretzky, Walter van Roggen:
Cancellation in a Parallel Semantic Network. IJCAI 1981: 257-263 - 1980
- [j2]Scott E. Fahlman:
Computing Facilities for AI: A Survey of Present and Near-Future Options. AI Mag. 2(1): 16-23 (1980) - [c1]Scott E. Fahlman:
Design Sketch for a Million-Element NETL Machine. AAAI 1980: 249-252
1970 – 1979
- 1974
- [j1]Scott E. Fahlman:
A Planning System for Robot Construction Tasks. Artif. Intell. 5(1): 1-49 (1974)
Coauthor Index
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