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ESOP
2011
Springer
14 years 8 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
CIKM
2009
Springer
15 years 11 months ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges
ICCS
2007
Springer
15 years 10 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
FOIS
2008
15 years 6 months ago
Cognitive Context and Arguments from Ontologies for Learning
The deployment of learning resources on the web by different experts has resulted in the accessibility of multiple viewpoints about the same topics. In this work we assume that lea...
Christiana Panayiotou, Brandon Bennett
ECTEL
2010
Springer
15 years 5 months ago
Orchestrating Learning Using Adaptive Educational Designs in IMS Learning Design
: IMS Learning Design (IMS LD) is an open specification to support interoperability of advanced educational designs for a wide range of technology-enhanced learning solutions and o...
Marion R. Gruber, Christian Glahn, Marcus Specht, ...