1. The 14th International Conference on Neural Information Processing (ICONIP2007) ICONIP 2007 참관기
홍진혁

2. ICONIP 2007
The 14th International Conference on Neural Information Processing
Hibikino, Kitakyushu, Japan, Nov.13-16, 2007
Title: Towards an integrated approach to the brain
Brain-inspired engineering and brain science

3. Program

4. 첫째 날 오전 Keynote speech 오전 세션
Mitsuo Kawato, ATR Computational Neuroscience Laboratories
Cerebellar long term depression as a supervised learning rule with all or nothing character at each synapse
오전 세션
Neural networks for art, music, and entertainment
Interactive clothes design support system
Neural network for modeling esthetic selection
Adaptive computer game system using artificial neural networks
Neuroinformatics in Korea
Integrated model for informal inference based on neural networks

5. 첫째 날 오후 Plenary talk 오후 세션
Rajesh P. N. Rao, University of Washington, USA
Brain-inspired models of Bayesian computation, with applications to humanoid robotics and brain-machine interfaces
오후 세션
Evolving connectionist systems for on-line learning, feature selection and their applications
Hybrid fuzzy colour processing and learning
Adaptive face recognition system using fast incremental principal component analysis
Adaptive spiking neural networks for audiovisual pattern recognition
Evolving connectionist systems for adaptive sports coaching
Novel approaches
Diverse evolutionary neural networks based on information theory
Learning CTRNN parameters by differential evolution
Diversity-based feature selection from neural network with low computational cost

6. 둘째 날 Plenary talk Learning and memory 1
F. Kaplan, EPFL, Switzerland
Curiosity-driven development
Learning and memory 1
Efficient algorithms for active learning framework
Practical recurrent learning in the discrete time domain
Shin Ishii, Kyoto University
Modeling decision making a partially observable domain
Information geometry and information theory in machine learning
Natural conjugate gradient in variational inference
A robust ICA-based adaptive filter algorithm for system identification using stochastic information gradient
Component reduction for hierarchical mixture model construction

7. 마지막 날 Plenary talk CI in Bioinformatics
Andrew Y. Ng, Stanford University, USA
STAIR: The Stanford Artificial Intelligence Robot project
CI in Bioinformatics
Ontology-based framework for personalized diagnosis and prognosis of cancer based on gene expression data
Ensemble neural networks with novel gene-subsets for multiclass cancer classification
Yoshiyuki Kabashima, Tokyo Institute of Technology
Statistical mechanical approach to CDMA communication: an offspring of research on percepturons and associative memory

8. 정리
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