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NN
2006
Springer
120views Neural Networks» more  NN 2006»
13 years 3 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
COMPUTER
2004
179views more  COMPUTER 2004»
13 years 3 months ago
Environmental Sensor Networks
Environmental Sensor Networks (ESNs) facilitate the study of fundamental processes and the development of hazard response systems. They have evolved from passive logging systems t...
Kirk Martinez, Jane K. Hart, Royan Ong
DAGSTUHL
2008
13 years 5 months ago
The Grand Challenges and Myths of Neural-Symbolic Computation
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...
Luís C. Lamb
WWW
2004
ACM
14 years 4 months ago
CS AKTive space: representing computer science in the semantic web
We present a Semantic Web application that we call CS AKTive Space1 . The application exploits a wide range of semantically heterogeneous and distributed content relating to Compu...
Monica M. C. Schraefel, Nigel R. Shadbolt, Nichola...
ECAI
2006
Springer
13 years 7 months ago
Cheating Is Not Playing: Methodological Issues of Computational Game Theory
Abstract. Computational Game Theory is a way to study and evaluate behaviors using game theory models, via agent-based computer simulations. One of the most known example of this a...
Bruno Beaufils, Philippe Mathieu