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» Informative sampling for large unbalanced data sets
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MOBISYS
2007
ACM
14 years 7 months ago
Participatory user centered design techniques for a large scale ad-hoc health information system
During mass casualty incidents, an enormous amount of data, including the vital signs of the patients, the location of the patients, and the location of the first responders must ...
Tia Gao, Tammara Massey, Majid Sarrafzadeh, Leo Se...
SDM
2010
SIAM
184views Data Mining» more  SDM 2010»
13 years 9 months ago
A Robust Decision Tree Algorithm for Imbalanced Data Sets
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V...
JMLR
2010
121views more  JMLR 2010»
13 years 2 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor
DELOS
2000
13 years 9 months ago
Using the Wavelet Transform to Learn from User Feedback
User feedback has proven very successful to query large multimedia databases. Due to the nature of the data representation and the mismatch between mathematical models and human p...
Ilaria Bartolini, Paolo Ciaccia, Florian Waas
BMCBI
2010
130views more  BMCBI 2010»
13 years 7 months ago
MLPAinter for MLPA interpretation: an integrated approach for the analysis, visualisation and data management of Multiplex Ligat
Background: Multiplex Ligation-Dependent Probe Amplification (MLPA) is an application that can be used for the detection of multiple chromosomal aberrations in a single experiment...
Ronald van Eijk, Paul H. C. Eilers, Remco Natt&eac...