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» Active Sampling for Knowledge Discovery from Biomedical Data
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ICAI
2007
13 years 6 months ago
Domain Ontology Construction from Biomedical Text
- NLM's Unified Medical Language System (UMLS) is a very large ontology of biomedical and health data. In order to be used effectively for knowledge processing, it needs to be...
Saurav Sahay, Baoli Li, Ernest V. Garcia, Eugene A...
ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
13 years 10 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
BMCBI
2010
190views more  BMCBI 2010»
13 years 5 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 7 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
CBMS
2005
IEEE
13 years 11 months ago
An Online Analysis and Information Fusion Platform for Heterogeneous Biomedical Informatics Data
Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment histor...
Srivatsava Ranjit Ganta, Jyotsna Kasturi, John Gil...