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ICTAI
2010
IEEE
13 years 7 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
BMCBI
2008
124views more  BMCBI 2008»
13 years 10 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li
SIGCSE
2002
ACM
218views Education» more  SIGCSE 2002»
13 years 10 months ago
Participatory design in a human-computer interaction course: teaching ethnography methods to computer scientists
Empirical evidence shows the ability for computer technology to deliver on its promises of enhancing our quality of life relies on how well the application fits our understanding ...
Jerry B. Weinberg, Mary L. Stephen
BMCBI
2006
130views more  BMCBI 2006»
13 years 10 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
MICCAI
2008
Springer
14 years 11 months ago
Discovering Structure in the Space of Activation Profiles in fMRI
We present a method for discovering patterns of activation observed through fMRI in experiments with multiple stimuli/tasks. We introduce an explicit parameterization for the profi...
Danial Lashkari, Ed Vul, Nancy Kanwisher, Polin...