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ICML
2005
IEEE
16 years 5 months ago
Predicting probability distributions for surf height using an ensemble of mixture density networks
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...
Michael Carney, Padraig Cunningham, Jim Dowling, C...
ICML
2004
IEEE
16 years 5 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
SIGSOFT
2001
ACM
16 years 5 months ago
An empirical methodology for introducing software processes
There is a growing interest in empirical study in software engineering, both for validating mature technologies and for guiding improvements of less-mature technologies. This pape...
Forrest Shull, Jeffrey Carver, Guilherme Travassos
ISBI
2002
IEEE
16 years 5 months ago
Automated determination of protein subcellular locations from 3D fluorescence microscope images
Knowing the subcellular location of a protein is critical to a full understanding of its function, and automated, objective methods for assigning locations are needed as part of t...
Meel Velliste, Robert F. Murphy
ISBI
2004
IEEE
16 years 5 months ago
Tomographic Reconstruction From an Uncontrolled Sensor Trajectory
For many medical procedures 3D bone models are built from Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) data, both of which are expensive and time consuming, and un...
Chris Baker, Christian Debrunner, William Hoff, Ja...