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CSDA
2007
128views more  CSDA 2007»
15 years 4 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
129
Voted
IVC
2002
121views more  IVC 2002»
15 years 4 months ago
Automatic extraction of the face identity-subspace
Facial variation divides into a number of functional subspaces, and ensemblespecific variation. An improved method of measuring these is presented, within the space defined by an ...
Nicholas Costen, Timothy F. Cootes, Gareth J. Edwa...
JMLR
2010
82views more  JMLR 2010»
14 years 11 months ago
TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries
We present an artificially simulated dataset (TIED) constructed so that there are many minimal sets of variables with maximal predictivity (i.e., Markov boundaries) and likewise m...
Alexander R. Statnikov, Constantin F. Aliferis
ATAL
2005
Springer
15 years 10 months ago
Using decision-theoretic models to enhance agent system survivability
A survivable agent system depends on the incorporation of many recovery features. However, the optimal use of these features requires the ability to assess the actual state of the...
Anthony R. Cassandra, Marian H. Nodine, Shilpa Bon...
UAI
2008
15 years 6 months ago
CT-NOR: Representing and Reasoning About Events in Continuous Time
We present a generative model for representing and reasoning about the relationships among events in continuous time. We apply the model to the domain of networked and distributed...
Aleksandr Simma, Moisés Goldszmidt, John Ma...