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

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

Program

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

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

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

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

정리 교통 관련 열차 노선의 정확한 확인 필요 간단한 일본어와 한자는 익힐 필요 조금 더 적극적으로