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» A Mixture Model System for Medical and Machine Diagnosis
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BMCBI
2008
126views more  BMCBI 2008»
13 years 8 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...
ICML
2001
IEEE
14 years 9 months ago
Bayesian approaches to failure prediction for disk drives
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
Greg Hamerly, Charles Elkan
ISBI
2007
IEEE
14 years 2 months ago
Automated Grading of Prostate Cancer Using Architectural and Textural Image Features
The current method of grading prostate cancer on histology uses the Gleason system, which describes five increasingly malignant stages of cancer according to qualitative analysis...
Scott Doyle, Mark Hwang, Kinsuk Shah, Anant Madabh...
FROCOS
2000
Springer
14 years 6 days ago
Handling Differential Equations with Constraints for Decision Support
The behaviour of many systems is naturally modelled by a set of ordinary differential equations (ODEs) which are parametric. Since decisions are often based on relations over these...
Jorge Cruz, Pedro Barahona
INTERSPEECH
2010
13 years 3 months ago
Combining five acoustic level modeling methods for automatic speaker age and gender recognition
This paper presents a novel automatic speaker age and gender identification approach which combines five different methods at the acoustic level to improve the baseline performanc...
Ming Li, Chi-Sang Jung, Kyu Jeong Han