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SIGKDD
2010
128views more  SIGKDD 2010»
14 years 8 months ago
On cross-validation and stacking: building seemingly predictive models on random data
A number of times when using cross-validation (CV) while trying to do classification/probability estimation we have observed surprisingly low AUC's on real data with very few...
Claudia Perlich, Grzegorz Swirszcz
COSIT
2005
Springer
185views GIS» more  COSIT 2005»
15 years 7 months ago
3D Topographic Data Modelling: Why Rigidity Is Preferable to Pragmatism
In this paper two concepts for modelling 3D topography are introduced. The first concept is a very pragmatic approach of 3D modelling, trying to model as much as possible in (less...
Friso Penninga
MTA
2007
110views more  MTA 2007»
15 years 1 months ago
On aggregate available bandwidth in many-to-one data transfer - modeling and applications
Abstract This work investigates the modeling of aggregate available bandwidth in multisender network applications. Unlike the well-established client–server model, where there is...
S. C. Hui, Jack Y. B. Lee
NIPS
2003
15 years 3 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
ICONIP
2009
14 years 11 months ago
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
Adaptation is a hallmark of sensory processing. We studied neural adaptation in intracellular voltage responses of the R1-R6 photoreceptors, of the fruit fly Drosophila, subjected ...
Uwe Friederich, Daniel Coca, Stephen A. Billings, ...