Sciweavers

Share
17 search results - page 2 / 4
» Unbiased Look at Dataset Bias
Sort
View
NIPS
2008
9 years 10 months ago
Generative and Discriminative Learning with Unknown Labeling Bias
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
Miroslav Dudík, Steven J. Phillips
AMAI
2004
Springer
10 years 2 months ago
Biased Minimax Probability Machine for Medical Diagnosis
The Minimax Probability Machine (MPM) constructs a classifier, which provides a worst-case bound on the probability of misclassification of future data points based on reliable ...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
10 years 3 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders
BMCBI
2010
130views more  BMCBI 2010»
9 years 9 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...
INFSOF
2016
4 years 5 months ago
Exact Mean Absolute Error of Baseline Predictor, MARP0
Shepperd and MacDonell “Evaluating prediction systems in software project estimation”. Information and Software Technology 54 (8), 820–827, 2012, proposed an improved measur...
William B. Langdon, José Javier Dolado, Fed...
books