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» Prediction from Partial Data, Renormalization, and Averaging
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BMCBI
2008
138views more  BMCBI 2008»
14 years 9 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
AUSAI
2009
Springer
15 years 1 months ago
Ensemble Approach for the Classification of Imbalanced Data
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...
74
Voted
CSL
2007
Springer
14 years 9 months ago
Modeling durations of syllables using neural networks
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
K. Sreenivasa Rao, B. Yegnanarayana
75
Voted
ICS
2001
Tsinghua U.
15 years 1 months ago
Slice-processors: an implementation of operation-based prediction
We describe the Slice Processor micro-architecture that implements a generalized operation-based prefetching mechanism. Operation-based prefetchers predict the series of operation...
Andreas Moshovos, Dionisios N. Pnevmatikatos, Amir...
KDD
2003
ACM
449views Data Mining» more  KDD 2003»
15 years 10 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...