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ORCIDSequence Learning 2001
- Ron Sun, C. Lee Giles
:
Sequence Learning - Paradigms, Algorithms, and Applications. Lecture Notes in Computer Science 1828, Springer 2001, ISBN 3-540-41597-1 - Ron Sun:
Introduction to Sequence Learning. 1-10
Sequence Clustering and Learning with Markov Models
- Paola Sebastiani, Marco Ramoni, Paul R. Cohen:
Sequence Learning via Bayesian Clustering by Dynamics. 11-34 - Tim Oates, Laura Firoiu, Paul R. Cohen:
Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series. 35-52
Sequence Prediction and Recognition with Neural Networks
- DeLiang L. Wang:
Anticipation Model for Sequential Learning of Complex Sequences. 53-79 - Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda:
Bidirectional Dynamics for Protein Secondary Structure Prediction. 80-104 - Jean-Cédric Chappelier, Marco Gori, Alain Grumbach:
Time in Connectionist Models. 105-134 - Diego Sona, Alessandro Sperduti:
On the Need for a Neural Abstract Machine. 135-161
Sequence Discovery with Symbolic Methods
- Mohammed Javeed Zaki:
Sequence Mining in Categorical Domains: Algorithms and Applications. 162-187 - Christian Lebiere, Dieter Wallach:
Sequence Learning in the ACT-R Cognitive Architecture: Empirical Analysis of a Hybrid Model. 188-212
Sequential Decision Making
- Jürgen Schmidhuber:
Sequential Decision Making Based on Direct Search. 213-240 - Ron Sun, Chad Sessions:
Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning. 241-263 - Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang:
Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making. 264-287 - Gerald Tesauro:
Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning. 288-307
Biologically Inspired Sequence Learning Models
- Raju S. Bapi, Kenji Doya:
Multiple Forward Model Architecture for Sequence Processing. 308-320 - Hervé Frezza-Buet, Nicolas P. Rougier, Frédéric Alexandre:
Integration of Biologically Inspired Temporal Mechanisms into a Cortical Framework fo Sequence Processing. 321-348 - Stephen Grossberg, Rainer W. Paine:
Attentive Learning of Sequential Handwriting Movements: A Neural Network Model. 349-387
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