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NIPS
2008
15 years 8 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
BMCBI
2008
129views more  BMCBI 2008»
15 years 6 months ago
Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both comple
Background: DNA microarray technology has emerged as a major tool for exploring cancer biology and solving clinical issues. Predicting a patient's response to chemotherapy is...
René Natowicz, Roberto Incitti, Euler Guima...
BMCBI
2008
185views more  BMCBI 2008»
15 years 6 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
CE
2008
102views more  CE 2008»
15 years 6 months ago
E-Science in the classroom - Towards viability
E-Science has the potential to transform school science by enabling learners, teachers and research scientists to engage together in authentic scientific enquiry, collaboration an...
Joshua Underwood, Hilary Smith, Rosemary Luckin, G...
AI
2005
Springer
15 years 6 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...