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» The Cascade-Correlation Learning Architecture
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119
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GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
15 years 9 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
121
Voted
GECCO
2004
Springer
15 years 9 months ago
Evolving a Roving Eye for Go
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
Kenneth O. Stanley, Risto Miikkulainen
124
Voted
BIOADIT
2006
Springer
15 years 7 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner
114
Voted
AAAI
2010
15 years 5 months ago
Evolving Compiler Heuristics to Manage Communication and Contention
As computer architectures become increasingly complex, hand-tuning compiler heuristics becomes increasingly tedious and time consuming for compiler developers. This paper presents...
Matthew E. Taylor, Katherine E. Coons, Behnam Roba...
148
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JUCS
2007
90views more  JUCS 2007»
15 years 3 months ago
Supporting the Authoring and Operationalization of Educational Modelling Languages
: The modelling of educational processes and their operational support is a key aspect in the construction of more effective e-learning applications. Instructional models are usual...
Iván Martínez-Ortiz, Pablo Moreno-Ge...