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» Learning Functions from Imperfect Positive Data
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BIBM
2008
IEEE
175views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Integrative Protein Function Transfer Using Factor Graphs and Heterogeneous Data Sources
We propose a novel approach for predicting protein functions of an organism by coupling sequence homology and PPI data between two (or more) species with multifunctional Gene Onto...
Antonina Mitrofanova, Vladimir Pavlovic, Bud Mishr...
ICML
2004
IEEE
14 years 8 months ago
A needle in a haystack: local one-class optimization
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
Koby Crammer, Gal Chechik
JIB
2006
220views more  JIB 2006»
13 years 7 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
ECCV
2004
Springer
14 years 1 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 7 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez