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AAAI
2011
12 years 10 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
ACMDIS
2010
ACM
13 years 10 months ago
The CLOTHO project: predicting application utility
When using the computer, each user has some notion that "these applications are important" at a given point in time. We term this subset of applications that the user va...
Joshua M. Hailpern, Nicholas Jitkoff, Joseph Subid...
BMCBI
2008
152views more  BMCBI 2008»
13 years 10 months ago
Predicting biological system objectives de novo from internal state measurements
Background: Optimization theory has been applied to complex biological systems to interrogate network properties and develop and refine metabolic engineering strategies. For examp...
Erwin P. Gianchandani, Matthew A. Oberhardt, Antho...
JIB
2006
78views more  JIB 2006»
13 years 10 months ago
Identification of embryo specific human isoforms using a database of predicted alternative splice forms
Alternative splicing is one of the most important mechanisms to generate a large number of mRNA and protein isoforms from a small number of genes. Its study became one of the hot ...
Heike Pospisil
CSMR
2010
IEEE
13 years 4 months ago
Does the Past Say It All? Using History to Predict Change Sets in a CMDB
To avoid unnecessary maintenance costs in large IT systems resulting from poorly planned changes, it is essential to manage and control changes to the system and to verify that all...
Sarah Nadi, Richard C. Holt, Serge Mankovski