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» Exploiting Data Missingness in Bayesian Network Modeling
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JMLR
2010
134views more  JMLR 2010»
14 years 9 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
ICML
2009
IEEE
15 years 9 months ago
Topic-link LDA: joint models of topic and author community
Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental problems that have generated a lot o...
Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc
SAC
2009
ACM
15 years 7 months ago
A taxonomy and adversarial model for attacks against network log anonymization
In recent years, it has become important for researchers, security incident responders and educators to share network logs, and many log anonymization tools and techniques have be...
Justin King, Kiran Lakkaraju, Adam J. Slagell
QEST
2007
IEEE
15 years 9 months ago
A Petri Net Model for Evaluating Packet Buffering Strategies in a Network Processor
Previous studies have shown that buffering packets in DRAM is a performance bottleneck. In order to understand the impediments in accessing the DRAM, we developed a detailed Petri...
Girish B. C., R. Govindarajan
ICML
2004
IEEE
16 years 3 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...