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KDD
2000
ACM
153views Data Mining» more  KDD 2000»
13 years 9 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
13 years 10 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
13 years 1 months ago
Linear parametric noise models for Least Squares Support Vector Machines
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
GCB
2009
Springer
154views Biometrics» more  GCB 2009»
13 years 10 months ago
Comparative Identification of Differential Interactions from Trajectories of Dynamic Biological Networks
Abstract: It is often challenging to reconstruct accurately a complete dynamic biological network due to the scarcity of data collected in cost-effective experiments. This paper ad...
Zhengyu Ouyang, Mingzhou Song
PAMI
2006
358views more  PAMI 2006»
13 years 6 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs