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» Exploiting multiple classifier types with active learning
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HIS
2004
13 years 8 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
ICMCS
2000
IEEE
84views Multimedia» more  ICMCS 2000»
13 years 11 months ago
Multi-modal Interaction in the Age of Information Appliances
The coming millenium will be characterized by the availability of multiple information appliances that make ubiquitous information access an accepted fact of life. The ability to ...
Stéphane H. Maes, T. V. Raman
AAAI
2000
13 years 8 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
BMCBI
2005
134views more  BMCBI 2005»
13 years 6 months ago
Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists
Background: Analysis of inherited diseases and their associated phenotypes is of great importance to gain knowledge of underlying genetic interactions and could ultimately give cl...
Marco Masseroli, Osvaldo Galati, Mauro Manzotti, K...
NAR
2011
234views Computer Vision» more  NAR 2011»
12 years 9 months ago
The UCSC cancer genomics browser: update 2011
The UCSC Cancer Genomics Browser (https:// genome-cancer.ucsc.edu) comprises a suite of web-based tools to integrate, visualize and analyze cancer genomics and clinical data. The ...
J. Zachary Sanborn, Stephen C. Benz, Brian Craft, ...