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» Data Reduction Using Multiple Models Integration
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EDM
2008
104views Data Mining» more  EDM 2008»
15 years 6 months ago
Data-driven modelling of students' interactions in an ILE
This paper presents the development of two related machine-learned models which predict (a) whether a student can answer correctly questions in an ILE without requesting help and (...
Manolis Mavrikis
151
Voted
ASM
2000
ASM
15 years 9 months ago
Modeling the Dynamics of UML State Machines
We define the dynamic semantics of UML State Machines which integrate statecharts with the UML object model. The use of ASMs allows us (a) to rigorously model the event driven run...
Egon Börger, Alessandra Cavarra, Elvinia Ricc...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 7 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
BMCBI
2004
126views more  BMCBI 2004»
15 years 4 months ago
Visualization and analysis of microarray and gene ontology data with treemaps
Background: The increasing complexity of genomic data presents several challenges for biologists. Limited computer monitor views of data complexity and the dynamic nature of data ...
Eric H. Baehrecke, Niem Dang, Ketan Babaria, Ben S...
ICRA
2006
IEEE
139views Robotics» more  ICRA 2006»
15 years 10 months ago
Adaptive Geometric Templates for Feature Matching
Robust motion recovery in tracking multiple targets using image features is affected by difficulties in obtaining good correspondences over long sequences. Difficulties are intr...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...