1863 search results - page 166 / 373 » A supervised learning approach for imbalanced data sets |
121
Voted
SDM
2007
SIAM
15 years 6 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
156
click to vote
BMCBI
2008
15 years 4 months ago
2008
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
156
click to vote
PREMI
2005
Springer
15 years 10 months ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
142
click to vote
NIPS
2008
15 years 6 months ago
2008
Bartlett et al (2006) recently proved that a ground condition for convex surrogates, classification calibration, ties up the minimization of the surrogates and classification risk...
159
click to vote
BMCBI
2005
15 years 4 months ago
2005
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...