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» Prediction error methods for limit cycle data
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JMLR
2010
185views more  JMLR 2010»
14 years 4 months ago
Multiple Kernel Learning on the Limit Order Book
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
Tristan Fletcher, Zakria Hussain, John Shawe-Taylo...
CORR
2006
Springer
76views Education» more  CORR 2006»
14 years 9 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
MICCAI
2009
Springer
15 years 10 months ago
Think Global, Act Local; Projectome Estimation with BlueMatter
Estimating the complete set of white matter fascicles (the projectome) from diffusion data requires evaluating an enormous number of potential pathways; consequently, most algorith...
Anthony Sherbondy, Robert Dougherty, Rajagopal A...
BMCBI
2010
158views more  BMCBI 2010»
14 years 9 months ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
Corey M. Yanofsky, David R. Bickel
RECOMB
2001
Springer
15 years 10 months ago
Analysis techniques for microarray time-series data
We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that l...
Vladimir Filkov, Steven Skiena, Jizu Zhi