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» Prediction from Partial Data, Renormalization, and Averaging
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BMCBI
2008
184views more  BMCBI 2008»
14 years 9 months ago
"TOF2H": A precision toolbox for rapid, high density/high coverage hydrogen-deuterium exchange mass spectrometry via an LC-MALDI
Background: Protein-amide proton hydrogen-deuterium exchange (HDX) is used to investigate protein conformation, conformational changes and surface binding sites for other molecule...
Pornpat Nikamanon, Elroy Pun, Wayne Chou, Marek D....
CCGRID
2009
IEEE
15 years 4 months ago
Markov Model Based Disk Power Management for Data Intensive Workloads
—In order to meet the increasing demands of present and upcoming data-intensive computer applications, there has been a major shift in the disk subsystem, which now consists of m...
Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Pad...
FLAIRS
2008
14 years 11 months ago
The Introspective Robot: Using Self-Prediction to Improve Robot Learning
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
James B. Marshall, Neil K. Makhija, Zachary D. Rot...
MICCAI
2005
Springer
15 years 10 months ago
Efficient Learning by Combining Confidence-Rated Classifiers to Incorporate Unlabeled Medical Data
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
Weijun He, Xiaolei Huang, Dimitris N. Metaxas, Xia...
ICML
2004
IEEE
15 years 10 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...