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» Improved learning of Bayesian networks
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UM
2005
Springer
14 years 1 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
BMCBI
2010
158views more  BMCBI 2010»
13 years 8 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....
AVSS
2005
IEEE
14 years 1 months ago
Shape recognition based on a video and multi-sensor system
We present in this paper a real-time system for shape recognition. The proposed system is a video and multisensor platform that is able to classify the mobile objects evolving in ...
Huy-Binh Bui Ngoc, François Brémond,...
CORR
2011
Springer
160views Education» more  CORR 2011»
12 years 11 months ago
Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs
Although many algorithms have been designed to construct Bayesian network structures using different approaches and principles, they all employ only two methods: those based on i...
Silvia Acid, Luis M. de Campos
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 2 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...