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» Active Sampling for Knowledge Discovery from Biomedical Data
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BMCBI
2008
167views more  BMCBI 2008»
13 years 10 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren
BMCBI
2010
178views more  BMCBI 2010»
13 years 10 months ago
CNV Workshop: an integrated platform for high-throughput copy number variation discovery and clinical diagnostics
Background: Recent studies have shown that copy number variations (CNVs) are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk...
Xiaowu Gai, Juan C. Perin, Kevin Murphy, Ryan O'Ha...
ESANN
2006
13 years 11 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
CSE
2009
IEEE
14 years 4 months ago
Using Discovery and Monitoring Services to Support Context-Aware Remote Assisted Living Applications
Ubiquitous and pervasive applications are aware of the context of the used resources. This class of application can benefit from mechanisms to discover resources (devices and sens...
André Luiz B. Rodrigues, Izabela C. Gomes, ...
BIS
2010
165views Business» more  BIS 2010»
13 years 11 months ago
Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
Various information extraction (IE) systems for corporate usage exist. However, none of them target the product development and/or customer service domain, despite significant appl...
Ashwin Ittoo, Laura Maruster, Hans Wortmann, Gosse...