Sequence Learning 2001

@proceedings{DBLP:conf/seqlearn/2001,
  editor    = {Ron Sun and
               C. Lee Giles},
  title     = {Sequence Learning - Paradigms, Algorithms, and Applications},
  booktitle = {Sequence Learning},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1828},
  year      = {2001},
  isbn      = {3-540-41597-1},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

• 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
  

Last update Tue Feb 14 04:10:28 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page