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AUSAI
2006
Springer
15 years 10 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
IJCNN
2007
IEEE
16 years 21 days ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
CCGRID
2010
IEEE
15 years 7 months ago
Streamflow Programming Model for Data Streaming in Scientific Workflows
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
Chathura Herath, Beth Plale
TKDE
2012
194views Formal Methods» more  TKDE 2012»
13 years 8 months ago
A Query Formulation Language for the Data Web
— We present a query formulation language (called MashQL) in order to easily query and fuse structured data on the web. The main novelty of MashQL is that it allows people with l...
Mustafa Jarrar, Marios D. Dikaiakos
BMCBI
2011
15 years 1 months ago
Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
Kyle C. Chipman, Ambuj K. Singh