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NIPS
2007
15 years 8 months ago
Selecting Observations against Adversarial Objectives
In many applications, one has to actively select among a set of expensive observations before making an informed decision. Often, we want to select observations which perform well...
Andreas Krause, H. Brendan McMahan, Carlos Guestri...
NECO
2000
86views more  NECO 2000»
15 years 6 months ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp
ICDM
2010
IEEE
166views Data Mining» more  ICDM 2010»
15 years 4 months ago
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibat...
ICASSP
2011
IEEE
14 years 10 months ago
An extension of the ICA model using latent variables
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...
Selwa Rafi, Marc Castella, Wojciech Pieczynski
ICCV
1999
IEEE
16 years 8 months ago
Independent Component Analysis of Textures
The technique of independent component analysis (ICA) is applied for texture feature detection. In ICA an optimal transformation (with respect to the statistical structure of the i...
Roberto Manduchi, Javier Portilla