E-Book, Englisch, Band 77, 319 Seiten, eBook
Hammer / Hitzler Perspectives of Neural-Symbolic Integration
2007
ISBN: 978-3-540-73954-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 77, 319 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-540-73954-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions to this eternal problem. Edited with flair and sensitivity by Hammer and Hitzler, the book contains state-of-the-art contributions in neural-symbolic integration, covering `loose' coupling by means of structure kernels or recursive models as well as `strong' coupling of logic and neural networks.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Structured Data and Neural Networks.- Kernels for Strings and Graphs.- Comparing Sequence Classification Algorithms for Protein Subcellular Localization.- Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank.- Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties.- Markovian Bias of Neural-based Architectures With Feedback Connections.- Time Series Prediction with the Self-Organizing Map: A Review.- A Dual Interaction Perspective for Robot Cognition: Grasping as a “Rosetta Stone”.- Logic and Neural Networks.- SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable Inference.- The Core Method: Connectionist Model Generation for First-Order Logic Programs.- Learning Models of Predicate Logical Theories with Neural Networks Based on Topos Theory.- Advances in Neural-Symbolic Learning Systems: Modal and Temporal Reasoning.- Connectionist Representation of Multi-Valued Logic Programs.
