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ICONIP
2008
14 years 11 months ago
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony
Abstract. A method is proposed to determine the similarity of a collection of time series. As a first step, one extracts events from the time series, in other words, one converts e...
Justin Dauwels, François B. Vialatte, Theop...
ASC
2000
14 years 11 months ago
Extended Neural Model Predictive Control of Non-Linear Systems
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...
P. Gil, J. Henriques, A. Dourado, H. Duarte-Ramos
ICTAI
2005
IEEE
15 years 3 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ICANN
2001
Springer
15 years 2 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
80
Voted
NIPS
2001
14 years 11 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...