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ML
2006
ACM
121views Machine Learning» more  ML 2006»
14 years 11 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
COMPLIFE
2006
Springer
15 years 3 months ago
Software Supported Modelling in Pharmacokinetics
A powerful new software concept to physiologically based pharmacokinetic (PBPK) modelling of drug disposition is presented. It links the inherent modular understanding in pharmacol...
Regina Telgmann, Max von Kleist, Wilhelm Huisinga
IJON
2006
160views more  IJON 2006»
14 years 11 months ago
Attractor dynamics in a modular network model of the cerebral cortex
ional models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a s...
Mikael Lundqvist, Martin Rehn, Anders Lansner
ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
15 years 1 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta
ESANN
2006
15 years 18 days ago
Degeneracy in model selection for SVMs with radial Gaussian kernel
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
Tobias Glasmachers