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» Reformulating Constraint Models Using Input Data
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137
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BMCBI
2007
133views more  BMCBI 2007»
15 years 2 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
103
Voted
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
15 years 8 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi
128
Voted
BMCBI
2006
115views more  BMCBI 2006»
15 years 2 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
199
Voted
ICDE
1996
IEEE
124views Database» more  ICDE 1996»
16 years 4 months ago
Automating the Assembly of Presentations from Multimedia Databases
A multimedia presentation refers to the presentation of multimedia data using output devices such as monitors for text and video, and speakers for audio. Each presentation consist...
Gultekin Özsoyoglu, Joel Kraft, Veli Hakkoyma...
ISTCS
1993
Springer
15 years 6 months ago
Analog Computation Via Neural Networks
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...
Hava T. Siegelmann, Eduardo D. Sontag