Perspectives of Neural-Symbolic Integration (Hardcover, 2007)

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.