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» AS Relationships: Inference and Validation
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BMCBI
2011
14 years 1 months ago
Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis
Background: Combining multiple evidence-types from different information sources has the potential to reveal new relationships in biological systems. The integrated information ca...
Artem Lysenko, Michael Defoin-Platel, Keywan Hassa...
AIME
2005
Springer
14 years 12 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
PAMI
2010
174views more  PAMI 2010»
14 years 8 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
13 years 9 days ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
CHI
2009
ACM
15 years 4 months ago
Enhancing brain-machine interface throughput using simultaneous activation detection
In this work, we investigate the viability of a novel combination of evoked responses as input signals for a general-purpose brain-machine interface (BMI). We demonstrate response...
Rudolph L. Mappus IV, Paul M. Corballis, Melody Mo...