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» Modeling synchronized time series
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99
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ICML
2010
IEEE
15 years 1 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen
108
Voted
VLSID
2002
IEEE
107views VLSI» more  VLSID 2002»
16 years 1 months ago
Automatic Model Refinement for Fast Architecture Exploration
We present a methodology and algorithms for automatic refinement from a given design specification to an architecture model based on decisions in architecture exploration. An arch...
Junyu Peng, Samar Abdi, Daniel Gajski
138
Voted
ICTAI
2005
IEEE
15 years 6 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
ASC
2000
15 years 2 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
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
14 years 10 months ago
Reduced complexity models in the identification of dynamical networks: Links with sparsification problems
In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be ...
Donatello Materassi, Giacomo Innocenti, Laura Giar...