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» Algorithmic Representation of Visual Information
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NIPS
2008
15 years 5 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
136
Voted
CIKM
2007
Springer
15 years 9 months ago
Reusing relational sources for semantic information access
The rapid growth of available data arises the need for more sophisticated techniques for semantic access to information. It has been proved that using conceptual model or ontology...
Lina Lubyte
BMCBI
2008
166views more  BMCBI 2008»
15 years 3 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
244
Voted
ML
2011
ACM
308views Machine Learning» more  ML 2011»
14 years 10 months ago
Relational information gain
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...
148
Voted
DSRT
2005
IEEE
15 years 9 months ago
Modeling Decentralized Real-Time Control by State Space Partition of Timed Automata
Timed automata provide useful state machine based representations for the validation and verification of realtime control systems. This paper introduces an algorithmic methodolog...
Thanikesavan Sivanthi, Srivas Chennu, Lothar Kreft