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CORR
2012
Springer
171views Education» more  CORR 2012»
14 years 10 days ago
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
Takanori Inazumi, Takashi Washio, Shohei Shimizu, ...
160
Voted
DEXAW
2007
IEEE
142views Database» more  DEXAW 2007»
15 years 6 months ago
Synopsis Data Structures for XML Databases: Models, Issues, and Research Perspectives
Due to the lack of efficient native XML database management systems, XML data manipulation and query evaluation may be resource-consuming, and represent a bottleneck for several ...
Angela Bonifati, Alfredo Cuzzocrea
ICML
2009
IEEE
16 years 5 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ICCS
2004
Springer
15 years 10 months ago
Solving Differential Equations in Developmental Models of Multicellular Structures Expressed Using L-systems
Mathematical modeling of growing multicellular structures creates the problem of solving systems of equations in which not only the values of variables, but the equations themselv...
Pavol Federl, Przemyslaw Prusinkiewicz
119
Voted
IJCAI
2007
15 years 6 months ago
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling
Recently, generative probabilistic modeling principles were extended to visualization of structured data types, such as sequences. The models are formulated as constrained mixture...
Peter Tino, Nikolaos Gianniotis