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FUIN
2008
108views more  FUIN 2008»
14 years 11 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
131
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SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 27 days ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
AIME
2003
Springer
15 years 6 months ago
Constraint Reasoning in Deep Biomedical Models
Objective: Deep biomedical models are often expressed by means of differential equations. Despite their expressive power, they are difficult to reason about and make decisions, g...
Jorge Cruz, Pedro Barahona
93
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KES
2008
Springer
15 years 22 days ago
Epileptic Seizure Classification Using Neural Networks with 14 Features
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
Rui P. Costa, Pedro Oliveira, Guilherme Rodrigues,...
110
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IADIS
2003
15 years 2 months ago
Learning Objects: Are They Serving Practitioners Working with VLES?
The purpose of this paper is to present a high-level discussion based on ongoing research with the aim of providing support to educational practitioners based on real shareability...
Miguel Baptista Nunes, Robert Pasley, Maggie McPhe...