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» Nonlinear causal discovery with additive noise models
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BIB
2008
109views more  BIB 2008»
13 years 5 months ago
Computational intelligence approaches for pattern discovery in biological systems
Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
Gary B. Fogel
JSAC
2010
92views more  JSAC 2010»
13 years 3 months ago
Analysis of Nonlinear Transition Shift and Write Precompensation in Perpendicular Recording Systems
Abstract—In high density perpendicular magnetic recording channels, nonlinear transition shift (NLTS) is one of the distortions that can degrade the system performance. Write pre...
Zheng Wu, Paul H. Siegel, Jack K. Wolf, H. Neal Be...
CORR
2011
Springer
188views Education» more  CORR 2011»
13 years 10 days ago
Information-Theoretic Viewpoints on Optimal Causal Coding-Decoding Problems
—In this paper we consider an interacting two-agent sequential decision-making problem consisting of a Markov source process, a causal encoder with feedback, and a causal decoder...
Siva K. Gorantla, Todd P. Coleman
JMLR
2010
93views more  JMLR 2010»
13 years 4 days ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing
JMLR
2006
136views more  JMLR 2006»
13 years 5 months ago
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
Tonatiuh Peña Centeno, Neil D. Lawrence