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JMLR
2010
134views more  JMLR 2010»
15 years 1 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
MVA
2010
193views Computer Vision» more  MVA 2010»
15 years 1 months ago
A novel framework for 3D reconstruction and analysis of ancient inscriptions
Studying ancient inscriptions is based up to date mostly on observation and manual analysis by means of which epigraphists attempt to establish a geographical and chronological cla...
Angelos Barmpoutis, Eleni Bozia, Robert S. Wagman
SAC
2010
ACM
15 years 1 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
SIAMIS
2010
102views more  SIAMIS 2010»
15 years 1 months ago
Cross Correlation and Deconvolution of Noise Signals in Randomly Layered Media
It is known that cross correlation of waves generated by noise sources, propagating in an unknown medium, and recorded by a sensor array, can provide information about the medium. ...
Josselin Garnier, Knut Sølna
TCBB
2010
98views more  TCBB 2010»
15 years 1 months ago
VARUN: Discovering Extensible Motifs under Saturation Constraints
Abstract-The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, m...
Alberto Apostolico, Matteo Comin, Laxmi Parida