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NIPS
2008
14 years 5 days ago
Nonlinear causal discovery with additive noise models
The discovery of causal relationships between a set of observed variables is a fundamental problem in science. For continuous-valued data linear acyclic causal models with additiv...
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, ...
ACSW
2004
14 years 4 days ago
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
William D. Smart, Mengjie Zhang
IJCAI
2003
14 years 3 days ago
Causes and Explanations Revisited
This paper reconsiders the notions of actual cause and explanation in functional causal models. We demonstrate that isomorphic causal models can generate intuitively different cau...
James D. Park
DSP
2006
13 years 10 months ago
On the application of cross correlation function to subsample discrete time delay estimation
Cross correlation function (CCF) of signals is an important tool of multi-sensors signal processing. Parabola functions are commonly used as parametric models of the CCF in time d...
Lei Zhang 0006, Xiaolin Wu
IJON
2006
117views more  IJON 2006»
13 years 10 months ago
EEG classification using generative independent component analysis
We present an application of Independent Component Analysis (ICA) to the discrimination of mental tasks for EEG-based Brain Computer Interface systems. ICA is most commonly used w...
Silvia Chiappa, David Barber