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» Prediction from Partial Data, Renormalization, and Averaging
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BMCBI
2010
97views more  BMCBI 2010»
14 years 9 months ago
Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear a
Background: Protein kinases play crucial roles in cell growth, differentiation, and apoptosis. Abnormal function of protein kinases can lead to many serious diseases, such as canc...
Maris Lapinsh, Jarl E. S. Wikberg
BMCBI
2008
78views more  BMCBI 2008»
14 years 9 months ago
Evaluation of time profile reconstruction from complex two-color microarray designs
Background: As an alternative to the frequently used "reference design" for two-channel microarrays, other designs have been proposed. These designs have been shown to b...
Ana C. Fierro, Raphael Thuret, Kristof Engelen, Gi...
ICANN
2005
Springer
15 years 3 months ago
Multiresponse Sparse Regression with Application to Multidimensional Scaling
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
Timo Similä, Jarkko Tikka
IJCV
2011
264views more  IJCV 2011»
14 years 4 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
DASFAA
2007
IEEE
150views Database» more  DASFAA 2007»
15 years 3 months ago
TinTO: A Tool for the View-Based Analysis of Streams of Stock Market Data
TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of applying conventional SQL queries for analyzing a wide spectrum of data streams. As applic...
Andreas Behrend, Christian Dorau, Rainer Manthey