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NIPS
2003
15 years 6 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc
AIED
2009
Springer
15 years 11 months ago
A Phoneme-Based Student Model for Adaptive Spelling Training
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...
Gian-Marco Baschera, Markus Gross
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 11 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
ACRI
2006
Springer
15 years 11 months ago
Interactive Terrain Simulation and Force Distribution Models in Sand Piles
This paper presents an application of Cellular Automata in the field of dry Granular Systems modelling. While the study of granular systems is not a recent field, no efficient mo...
Marta Pla-Castells, Ignacio García-Fern&aac...
142
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ICIAR
2004
Springer
15 years 10 months ago
Automatic Image Segmentation Using a Deformable Model Based on Charged Particles
Abstract. We present a method for automatic segmentation of grey-scale images, based on a recently introduced deformable model, the charged-particle model (CPM). The model is inspi...
Andrei Jalba, Michael H. F. Wilkinson, Jos B. T. M...