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» Learning correlations using the mixture-of-subsets model
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GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 1 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
MMM
2012
Springer
283views Multimedia» more  MMM 2012»
12 years 3 months ago
A Novel Multi-modal Integration and Propagation Model for Cross-Media Information Retrieval
In this paper, we present a novel PLSA-based aspect model and turn cross-media retrieval into two parts of multi-modal integration and correlation propagation. We first use multiva...
Wanxia Lin, Tong Lu, Feng Su
BMCBI
2011
12 years 11 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
NIPS
1998
13 years 9 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
PE
2010
Springer
114views Optimization» more  PE 2010»
13 years 6 months ago
Analysis of scheduling policies under correlated job sizes
Correlations in traffic patterns are an important facet of the workloads faced by real systems, and one that has far-reaching consequences on the performance and optimization of t...
Varun Gupta, Michelle Burroughs, Mor Harchol-Balte...