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Tutorials in ppt

 Scope & Goals

Name

 Title

Venue
Bryant, B. Inducing Agent Models from Examples   CIG 2008
       
Lucas, S. Learning to Play Games   CIG 2008
       
Yannakakis, G.; and Togelius, J. Measuring and Optimizing Player Satisfaction   CIG 2008
       
Bukovský, I.; Bíla, J.; Gupta, M.; and Hou, Z.-G. New Neural Architectures and New Adaptive Evaluation of Chaotic Time Series part 1   IEEE-ICAL 2008
       
Bukovský, I.; Bíla, J.; Gupta, M.; and Hou, Z.-G. New Neural Architectures and New Adaptive Evaluation of Chaotic Time Series part 2   IEEE-ICAL 2008
       
Tsang, Edward Computational Finance & Economics   CEC 2007
       
Yao, Xin From Evolving Single Neural Networks to Evolving Ensembles   CEC 2007
       
Michalewicz, Zbigniew Adaptive Business Intelligence   CEC 2007
       
Poli, Riccardo Genetic Programming Practice and Theory   CEC 2007
 Contributors

 Tutorials in ppt

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 Tutorials with Video

 Plenary Talks  

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 Contacts

 
 
Fogel, Gary; and Wiese, Kay Tutorial on Evolutionary Computation in Bioinformatics   CEC 2007
       
Deb, Kalyanmoy Evolutionary Multi-Objective Optimization (EMO)   CEC 2007
       
Suganthan, P. N. Particle Swarm Optimization & Differential Evolution   CEC 2007
       
Nakashima, Tomoharu Evolving Soccer Teams for RoboCup Simulation   CEC 2007
       
De Jong, Kenneth Evolutionary Computation: A Unified Approach   CEC 2007
       
Angelov, P.; and Filev, D. Design of Real Time Evolving Fuzzy Systems: Methodology, Algorithms & Applications   FUZZ-IEEE 2007
       
Berenji, Hamid Fuzzy Reinforcement Learning   FUZZ-IEEE 2007
       
Feng, Gang; and Zeng, Xiaojun Model based Fuzzy Logic Control: Overview and Perspectives   FUZZ-IEEE 2007
       
Gegov, Alexander Rule Base Compression in Fuzzy Systems   FUZZ-IEEE 2007
       
Klir, George J. Uncertainty and Information   FUZZ-IEEE 2007
       
Bezdek, James Approximate Clustering in Very large Images  

IJCNN 2007

  Approximate Clustering in Very Large Relational Data   IJCNN 2007
  Approximate Clustering in Very Large Object Data   IJCNN 2007
  Pattern Recognition   IJCNN 2007
  sVAT for VL Data   IJCNN 2007
  Clustering in VL Data   IJCNN 2007
       
Cherkassky, Vladimir Non-Inductive Approaches for Learning with Sparse Data   IJCNN 2007
       
Guyon, Isabelle Feature Selection and Causal Discovery   IJCNN 2007
       
Grossberg, Stephen 20 Years of Neural Networks: A Promising Start, A brilliant Future   IJCNN 2007
       
Kasabov, Nikola Evolving Connectionist Systems: The Knowledge Engineering Approach   IJCNN 2007
       
Jordan, Michael Applied Nonparametric hierarchical Bayes   IJCNN 2007
       
Lendaris, George Designing (Approximate) Optimal Controllers via DHP Adaptive Critics&Neural Networks   IJCNN 2007
  Learning&Approximate Dynamic Programming   IJCNN 2007
       
Melin, Patricia; and Castillo, Oscar Hybrid Intelligent Systems for Pattern Recognition using Soft Computing Techniques   IJCNN 2007
       
Molter, Colin; and Sato, Naoyuki Hippocampus, Memory and Dynamics   IJCNN 2007
       
Perlovsky, Leonid Bio-Inspired and Cognitive Neural Networks   IJCNN 2007
       
Principe, Jose Data Modeling using Kernels and Information Theoretic Learning   IJCNN 2007
       
Szu, Harold Real World Applications: Unsupervised Learning: Single Pixel BSS(Part I)   IJCNN 2007
  Real World Applications: Unsupervised Learning: Single Pixel BSS (Part II)   IJCNN 2007
  Real World Applications: Unsupervised Learning: Single Pixel BSS (Part III)   IJCNN 2007
       
Singer, Wolf Oscillations, Synchrony and Temporal Codes in Cortical Processing   IJCNN 2007
       
Wang, Jun Neurodynamic Optimization: Models and Applications   IJCNN 2007
       
Werbos, Paul Time-Series Prediction: A Challenge to the Neural Network Field   IJCNN 2007
  From Backpropagation to Brain-like Intelligent Systems: Current Status and Opportunities   IJCNN 2007
       
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