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ORCIDPerspectives of Neural-Symbolic Integration 2007
- Barbara Hammer, Pascal Hitzler:
Perspectives of Neural-Symbolic Integration. Studies in Computational Intelligence 77, Springer 2007, ISBN 978-3-540-73953-1 - Craig Saunders, Anthony A. Demco:
Kernels for Strings and Graphs. 7-22 - Fabrizio Costa
, Sauro Menchetti, Paolo Frasconi:
Comparing Sequence Classification Algorithms for Protein Subcellular Localization. 23-48 - Tayfun Gürel, Luc De Raedt, Stefan Rotter:
Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank. 49-65 - Barbara Hammer, Alessio Micheli, Alessandro Sperduti:
Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties. 67-94 - Peter Tiño, Barbara Hammer, Mikael Bodén:
Markovian Bias of Neural-based Architectures With Feedback Connections. 95-133 - Guilherme De A. Barreto:
Time Series Prediction with the Self-Organizing Map: A Review. 135-158 - Helge J. Ritter, Robert Haschke, Jochen J. Steil:
A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone". 159-178 - Lokendra Shastri:
SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable Inference. 183-203 - Sebastian Bader, Pascal Hitzler, Steffen Hölldobler, Andreas Witzel:
The Core Method: Connectionist Model Generation for First-Order Logic Programs. 205-232 - Helmar Gust, Kai-Uwe Kühnberger, Peter Geibel:
Learning Models of Predicate Logical Theories with Neural Networks Based on Topos Theory. 233-264 - Artur S. d'Avila Garcez:
Advances in Neural-Symbolic Learning Systems: Modal and Temporal Reasoning. 265-282 - Ekaterina Komendantskaya, Máire Lane, Anthony Karel Seda:
Connectionist Representation of Multi-Valued Logic Programs. 283-313
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