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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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SMC
2007
IEEE
143views Control Systems» more  SMC 2007»
15 years 4 months ago
Enabling gestural interaction by means of tracking dynamical systems models and assistive feedback
— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
Yon Visell, Jeremy R. Cooperstock
ICDM
2002
IEEE
173views Data Mining» more  ICDM 2002»
15 years 2 months ago
Mining Genes in DNA Using GeneScout
In this paper, we present a new system, called GeneScout, for predicting gene structures in vertebrate genomic DNA. The system contains specially designed hidden Markov models (HM...
Michael M. Yin, Jason Tsong-Li Wang
JCB
2006
79views more  JCB 2006»
14 years 9 months ago
A Stability Boundary Based Method for Finding Saddle Points on Potential Energy Surfaces
The task of finding saddle points on potential energy surfaces plays a crucial role in understanding the dynamics of a micromolecule as well as in studying the folding pathways of...
Chandan K. Reddy, Hsiao-Dong Chiang
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 4 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
CEC
2007
IEEE
14 years 10 months ago
Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings
— The computation of periodic orbits of nonlinear mappings is very important for studying and better understanding the dynamics of complex systems. Evolutionary algorithms have s...
Y. G. Petalas, Konstantinos E. Parsopoulos, Michae...