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159
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BMCBI
2007
215views more  BMCBI 2007»
15 years 3 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
DBPL
2001
Springer
113views Database» more  DBPL 2001»
15 years 8 months ago
Model-Checking Based Data Retrieval
In this paper we develop a new method for solving queries on semistructured data. The main idea is to see a database as a Kripke Transition System (a model) and a query as a formul...
Agostino Dovier, Elisa Quintarelli
101
Voted
VLDB
1990
ACM
69views Database» more  VLDB 1990»
15 years 7 months ago
Concept Description Language for Statistical Data Modeling
In this paper we describe a new language for statistical data modelling, which offers a general framework for the representation of elementary and summarydata.Thereare threemain c...
Tiziana Catarci, Giovanna D'Angiolini, Maurizio Le...
136
Voted
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 3 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
116
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IFM
2009
Springer
119views Formal Methods» more  IFM 2009»
15 years 10 months ago
Parallel Processes with Real-Time and Data: The ATLANTIF Intermediate Format
Abstract. To model real-life critical systems, one needs“high-level”languages to express three important concepts: complex data structures, concurrency, and real-time. So far, ...
Jan Stöcker, Frédéric Lang, Hub...