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CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 5 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
EJC
2008
15 years 5 months ago
Locating sensors in paths and cycles: The case of 2-identifying codes
For a graph G and a set D V (G), define Nr[x] = {xi V (G) : d(x, xi) r} (where d(x, y) is graph theoretic distance) and Dr(x) = Nr[x] D. D is known as an r-identifying code if...
David L. Roberts, Fred S. Roberts
ITIIS
2010
150views more  ITIIS 2010»
15 years 5 months ago
Computational Trust and Its Impact over Rational Purchasing Decisions of Internet Users
As web-based online communities are rapidly growing, the agents in the communities need to know their measurable belief of trust for safe and successful interactions. In this pape...
Sanguk Noh
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
15 years 5 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
PVLDB
2010
119views more  PVLDB 2010»
15 years 5 months ago
An Architecture for Parallel Topic Models
This paper describes a high performance sampling architecture for inference of latent topic models on a cluster of workstations. Our system is faster than previous work by over an...
Alexander J. Smola, Shravan Narayanamurthy
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