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» Finding Structure in Reinforcement Learning
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129
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ALIFE
2010
15 years 2 months ago
Modeling Social Learning of Language and Skills
We present a model of social learning of both language and skills, while assuming—insofar as possible—strict autonomy, virtual embodiment, and situatedness. This model is built...
Paul Vogt, Evert Haasdijk
129
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NIPS
1998
15 years 4 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
156
Voted
BMCBI
2011
14 years 10 months ago
A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment
Background: Many practical tasks in biomedicine require accessing specific types of information in scientific literature; e.g. information about the results or conclusions of the ...
Yufan Guo, Anna Korhonen, Maria Liakata, Ilona Sil...
148
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CIKM
2008
Springer
15 years 5 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen
150
Voted
BMCBI
2005
151views more  BMCBI 2005»
15 years 3 months ago
stam - a Bioconductor compliant R package for structured analysis of microarray data
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...
Claudio Lottaz, Rainer Spang