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AUSDM
2006
Springer
202views Data Mining» more  AUSDM 2006»
15 years 8 months ago
A Comparative Study of Classification Methods For Microarray Data Analysis
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
Hong Hu, Jiuyong Li, Ashley W. Plank, Hua Wang, Gr...
COLT
2008
Springer
15 years 6 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál
HIS
2008
15 years 5 months ago
Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior
In this paper, we highlight the use of synthetic data sets to analyze learners behavior under bounded complexity. We propose a method to generate synthetic data sets with a specif...
Núria Macià, Albert Orriols-Puig, Es...
UAI
2004
15 years 5 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
JIB
2010
149views more  JIB 2010»
14 years 11 months ago
Visualization and Analysis of a Cardio Vascular Disease- and MUPP1-related Biological Network combining Text Mining and Data War
t techniques to create such a network associated with an abstract cell environment is discussed in order to gain insights into the functional as well as spatial interrelationships....
Björn Sommer, Evgeny S. Tiys, Benjamin Kormei...