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» Automatic Understanding of Signals
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114
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AAAI
1998
15 years 3 months ago
Metacognition in Software Agents Using Classifier Systems
Software agents "living" and acting in a real world software environment, such as an operating system, a network, or a database system, can carry out many tasks for huma...
Zhaohua Zhang, Stan Franklin, Dipankar Dasgupta
98
Voted
ACL
1998
15 years 3 months ago
Named Entity Scoring for Speech Input
This paper describes a new scoring algorithm that supports comparison of linguistically annotated data from noisy sources. The new algorithm generalizes the Message Understanding ...
John D. Burger, David D. Palmer, Lynette Hirschman
143
Voted
VISSYM
2003
15 years 3 months ago
Detecting Critical Regions in Scalar Fields
Trivariate data is commonly visualized using isosurfaces or direct volume rendering. When exploring scalar fields by isosurface extraction it is often difficult to choose isoval...
Gunther H. Weber, Gerik Scheuermann, Bernd Hamann
155
Voted
NIPS
1993
15 years 3 months ago
Analyzing Cross-Connected Networks
The non-linear complexities of neural networks make network solutions difficult to understand. Sanger's contribution analysis is here extended to the analysis of networks aut...
Thomas R. Shultz, Jeffrey L. Elman
160
Voted
SPLC
2007
15 years 3 months ago
Feature Diagrams and Logics: There and Back Again
Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...
Krzysztof Czarnecki, Andrzej Wasowski