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» Phenomenology, Representations and Complexity
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WSC
1998
15 years 7 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
IJCAI
1997
15 years 7 months ago
Adaptive Web Sites: an AI Challenge
The creation of a complex web site is a thorny problem in user interface design. First, di erent visitors have distinct goals. Second, even a single visitor may have di erent need...
Mike Perkowitz, Oren Etzioni
AAAI
1996
15 years 7 months ago
Scaling Up Explanation Generation: Large-Scale Knowledge Bases and Empirical Studies
To explain complex phenomena, an explanation system must be able to select information from a formal representation of domain knowledge, organize the selected information into mul...
James C. Lester, Bruce W. Porter
ISMB
1993
15 years 7 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
AAAI
1990
15 years 7 months ago
Generalized Shape Autocorrelation
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Andrea Califano, Rakesh Mohan