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116
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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 8 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
163
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JMLR
2011
111views more  JMLR 2011»
14 years 10 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
127
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BMCBI
2010
95views more  BMCBI 2010»
15 years 3 months ago
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
Esteban Czwan, Benedikt Brors, David Kipling
131
Voted
HYBRID
2004
Springer
15 years 9 months ago
Modeling Subtilin Production in Bacillus subtilis Using Stochastic Hybrid Systems
The genetic network regulating the biosynthesis of subtilin in Bacillus subtilis is modeled as a stochastic hybrid system. The continuous state of the hybrid system is the concentr...
Jianghai Hu, Wei Chung Wu, Shankar Sastry
118
Voted
ACL
2006
15 years 5 months ago
Clavius: Bi-Directional Parsing for Generic Multimodal Interaction
We introduce a new multi-threaded parsing algorithm on unification grammars designed specifically for multimodal interaction and noisy environments. By lifting some traditional co...
Frank Rudzicz