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» Conditioning Probabilistic Databases
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JMLR
2010
88views more  JMLR 2010»
14 years 5 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
JMLR
2010
143views more  JMLR 2010»
14 years 5 months ago
Beware of the DAG!
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
A. Philip Dawid
DNA
2011
Springer
227views Bioinformatics» more  DNA 2011»
13 years 11 months ago
Cooperative Assembly Systems
Several molecular systems form large-scale objects. One would like to understand their assembly and how this assembly is regulated. As a first step, we investigate the phase trans...
Vincent Danos, Heinz Koeppl, John Wilson-Kanamori
ICDT
2007
ACM
114views Database» more  ICDT 2007»
15 years 5 months ago
Axiomatizing the Logical Core of XPath 2.0
The first aim of this paper is to present the logical core of XPath 2.0: a logically clean, decidable fragment, which includes most navigational features of XPath 2.0 (complex co...
Balder ten Cate, Maarten Marx
DEXAW
2004
IEEE
103views Database» more  DEXAW 2004»
15 years 2 months ago
Building a Self-Adaptive Content Distribution Network
In this paper, we propose a framework for building a self-adaptive Content Distribution Network (CDN). Such a CDN will exhibit selfadaptive behaviour at a coarse grained granulari...
Gawesh Jawaheer, Julie A. McCann