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LWA
2004
15 years 7 months ago
Learning Prototype Ontologies by Hierachical Latent Semantic Analysis
An ontology is a speci...cation of a conceptualization, a shared understanding of some domain of interest. The paper develops an algorithm that hierarchically groups words together...
Gerhard Paaß, Jörg Kindermann, Edda Leo...
SAC
2009
ACM
16 years 1 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 6 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
WINE
2010
Springer
153views Economy» more  WINE 2010»
15 years 4 months ago
Approximation Schemes for Sequential Posted Pricing in Multi-unit Auctions
We design algorithms for computing approximately revenue-maximizing sequential postedpricing mechanisms (SPM) in K-unit auctions, in a standard Bayesian model. A seller has K copi...
Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Y...
ICIP
2005
IEEE
16 years 8 months ago
Simultaneous super-resolution for video sequences
In this work, we propose a new super-resolution algorithm to simultaneously estimate all frames of a video sequence. The new algorithm is based on the Bayesian maximum a posterior...
Joceli Mayer, Marcelo Victor Wüst Zibetti