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» Regression-based latent factor models
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CSDA
2006
169views more  CSDA 2006»
13 years 4 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang
UAI
2004
13 years 6 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
ICAC
2007
IEEE
13 years 11 months ago
A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications
— The multi-tier implementation has become the industry standard for developing scalable client-server enterprise applications. Since these applications are performance sensitive...
Qi Zhang, Ludmila Cherkasova, Evgenia Smirni
JMLR
2010
119views more  JMLR 2010»
12 years 11 months ago
Factorized Orthogonal Latent Spaces
Existing approaches to multi-view learning are particularly effective when the views are either independent (i.e, multi-kernel approaches) or fully dependent (i.e., shared latent ...
Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, ...