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Book Categories |
Introduction to Sequence Learning | 1 | |
Sequence Clustering and Learning with Markov Models | ||
Sequence Learning via Bayesian Clustering by Dynamics | 11 | |
Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series | 35 | |
Sequence Prediction and Recognition with Neural Networks | ||
Anticipation Model for Sequential Learning of Complex Sequences | 53 | |
Bidirectional Dynamics for Protein Secondary Structure Prediction | 80 | |
Time in Connectionist Models | 105 | |
On the Need for a Neural Abstract Machine | 135 | |
Sequence Discovery with Symbolic Methods | ||
Sequence Mining in Categorical Domains: Algorithms and Applications | 162 | |
Sequence Learning in the Act-R Cognitive Architecture: Empirical Analysis of a Hybrid Model | 188 | |
Sequential Decision Making | ||
Sequential Decision Making Based on Direct Search | 213 | |
Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning | 241 | |
Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making | 264 | |
Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning | 288 | |
Biologically Inspired Sequence Learning Models | ||
Multiple Forward Model Architecture for Sequence Processing | 308 | |
Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework for Sequence Processing | 321 | |
Attentive Learning of Sequential Handwriting Movements: A Neural Network Model | 349 | |
About Editors | 389 | |
Author Index | 391 |
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