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IDA
2005
Springer
15 years 5 months ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
HICSS
2003
IEEE
107views Biometrics» more  HICSS 2003»
15 years 5 months ago
Leveraging Mobile Technology for m-Learning: 3rd Generation Threaded Discussions
Emerging mobile technologies hold great promise for educational institutions seeking to extend the learning experience to an increasingly nomadic and timechallenged student commun...
Timothy R. Hill
ACMIDC
2009
15 years 3 months ago
Designing for physical-digital correspondence in tangible learning environments
In tangible learning environments the potential to exploit different physical-digital links increases representational power but also broadens the complexity of design. This paper...
Sara Price, Taciana Pontual Falcão
SAT
2010
Springer
136views Hardware» more  SAT 2010»
15 years 3 months ago
A Non-prenex, Non-clausal QBF Solver with Game-State Learning
Abstract. We describe a DPLL-based solver for the problem of quantified boolean formulas (QBF) in non-prenex, non-CNF form. We make two contributions. First, we reformulate clause...
William Klieber, Samir Sapra, Sicun Gao, Edmund M....
EMNLP
2008
15 years 1 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu