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» Classification Using a Hierarchical Bayesian Approach
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ICASSP
2009
IEEE
15 years 9 months ago
Fast bayesian compressive sensing using Laplace priors
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
SIGIR
2010
ACM
14 years 9 months ago
The ECIR 2010 large scale hierarchical classification workshop
This paper reports on the Large Scale Hierarchical Classification workshop (http:// kmi.open.ac.uk/events/ecir2010/workshops-tutorials), held in conjunction with the European Conf...
A. Kosmopoulos, Éric Gaussier, Georgios Pal...
CORR
2008
Springer
108views Education» more  CORR 2008»
15 years 2 months ago
Hierarchical Bag of Paths for Kernel Based Shape Classification
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
François-Xavier Dupé, Luc Brun
CIKM
2010
Springer
15 years 1 months ago
Discriminative factored prior models for personalized content-based recommendation
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
Lanbo Zhang, Yi Zhang 0001
AAAI
2007
15 years 4 months ago
Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
Haizheng Zhang, C. Lee Giles, Henry C. Foley, John...