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» Informative sampling for large unbalanced data sets
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ICDIM
2008
IEEE
15 years 10 months ago
A holographic associative memory recommender system
We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations a...
Matthew Rutledge-Taylor, Andre Vellino, Robert L. ...
157
Voted
APVIS
2010
15 years 5 months ago
Volume visualization based on statistical transfer-function spaces
It is a difficult task to design transfer functions for noisy data. In traditional transfer-function spaces, data values of different materials overlap. In this paper we introduce...
Martin Haidacher, Daniel Patel, Stefan Bruckner, A...
160
Voted
JMLR
2006
113views more  JMLR 2006»
15 years 4 months ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
NECO
2007
95views more  NECO 2007»
15 years 3 months ago
Support Vector Ordinal Regression
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...
Wei Chu, S. Sathiya Keerthi
ICASSP
2008
IEEE
15 years 10 months ago
A pattern classification framework for theoretical analysis of component forensics
Component forensics is an emerging methodology for forensic analysis that aims at estimating the algorithms and parameters in each component of a digital device. This paper propos...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu