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MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
13 years 11 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
IJCNN
2006
IEEE
14 years 3 months ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
WWW
2005
ACM
14 years 10 months ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han
WEBI
2007
Springer
14 years 3 months ago
Emotion Classification Using Web Blog Corpora
In this paper, we investigate the emotion classification of web blog corpora using support vector machine (SVM) and conditional random field (CRF) machine learning techniques. The...
Changhua Yang, Kevin Hsin-Yih Lin, Hsin-Hsi Chen
CORR
2000
Springer
109views Education» more  CORR 2000»
13 years 9 months ago
Bootstrapping a Tagged Corpus through Combination of Existing Heterogeneous Taggers
This paper describes a new method, COMBI-BOOTSTRAP, to exploit existing taggers and lexical resources for the annotation of corpora with new tagsets. COMBI-BOOTSTRAP uses existing...
Jakub Zavrel, Walter Daelemans