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ICML
2007
IEEE
16 years 4 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
ICML
2005
IEEE
16 years 4 months ago
Multi-class protein fold recognition using adaptive codes
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...
Eugene Ie, Jason Weston, William Stafford Noble, C...
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
15 years 9 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
133
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CLEF
2007
Springer
15 years 9 months ago
MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image...
Sara Lana-Serrano, Julio Villena-Román, Jos...
ICML
2004
IEEE
16 years 4 months ago
A MFoM learning approach to robust multiclass multi-label text categorization
We propose a multiclass (MC) classification approach to text categorization (TC). To fully take advantage of both positive and negative training examples, a maximal figure-of-meri...
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua