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» The Use of Classifiers in Sequential Inference
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WSC
2007
13 years 11 months ago
Real-time prediction in a stochastic domain via similarity-based data-mining
This paper introduces an application and a methodology to predict future states of a process under real-time requirements. The real-time functionality is achieved by creating a Ba...
Timo Steffens, Philipp Hügelmeyer
EDM
2009
125views Data Mining» more  EDM 2009»
13 years 6 months ago
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collabo...
Antonio R. Anaya, Jesus Boticario
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 6 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
ICPR
2002
IEEE
14 years 10 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
JMLR
2010
117views more  JMLR 2010»
13 years 3 months ago
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...
Xinhua Zhang, Thore Graepel, Ralf Herbrich