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122
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IJCAI
1997
15 years 5 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
130
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WSCG
2000
100views more  WSCG 2000»
15 years 5 months ago
Adaptive Visualization for Interactive Geometric Modeling in Geoscience
Many engineering disciplines can profitably use large high-resolution geometric models whose computational requirements exceed current computer hardware capacities. This paper pre...
HongQian Karen Lu, Richard Hammersley
136
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AAAI
1996
15 years 5 months ago
Spatial Aggregation: Language and Applications
This paper describes the spatial aggregation language and its applications. Spatial aggregation comprises a framework and a mechanism for organizing computations around image-like...
Christopher Bailey-Kellogg, Feng Zhao, Kenneth Yip
115
Voted
AAAI
1994
15 years 5 months ago
Representing Multiple Theories
Most Artificial Intelligence programs lack generality because they reason with a single domain theory that is tailored for a specific task and embodies a host of implicit assumpti...
P. Pandurang Nayak
143
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ISMB
1993
15 years 5 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
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