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» Learning Models for Predicting Recognition Performance
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MICCAI
2010
Springer
14 years 8 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
JIB
2006
220views more  JIB 2006»
14 years 9 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...
RECOMB
2005
Springer
15 years 3 months ago
Probabilistic in Silico Prediction of Protein-Peptide Interactions
Abstract. Peptide recognition modules (PRMs) are specialised compact protein domains that mediate many important protein-protein interactions. They are responsible for the assembly...
Wolfgang P. Lehrach, Dirk Husmeier, Christopher K....
CIKM
2011
Springer
13 years 9 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore
73
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AAAI
2008
15 years 2 hour ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small