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» Complexity of Inference in Graphical Models
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AIEDU
2007
85views more  AIEDU 2007»
15 years 2 months ago
Opening up the Interpretation Process in an Open Learner Model
Opening a model of the learner is a potentially complex operation. There are many aspects of the learner that can be modelled, and many of these aspects may need to be opened in di...
Nicolas van Labeke, Paul Brna, Rafael Morales
224
Voted
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 7 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
CSE
2009
IEEE
15 years 9 months ago
The Importance of Data Collection for Modelling Contact Networks
—The recently developed small wireless devices ranging from sensor boards to mobile phones provide a timely opportunity to gather unique data sets on complex human interactions, ...
Eiko Yoneki
162
Voted
JBI
2002
15 years 2 months ago
Revising regulatory networks: from expression data to linear causal models
Discovering the complex regulatory networks that govern mRNA expression is an important but difficult problem. Many current approaches use only expression data from microarrays to...
Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pa...
140
Voted
SAB
2010
Springer
140views Optimization» more  SAB 2010»
15 years 27 days ago
A Model of Symmetry Breaking in Collective Decision-Making
Abstract. Symmetry breaking is commonly found in self-organized collective decision making. It serves an important functional role, specifically in biological and bio-inspired sys...
Heiko Hamann, Bernd Meyer, Thomas Schmickl, Karl C...