Sciweavers

971 search results - page 65 / 195
» Mining Several Data Bases with an Ensemble of Classifiers
Sort
View
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
13 years 5 months ago
Pattern Mining over Star Schemas in the Onto4AR Framework
Storing data according to the multidimensional model, in particular following star schemas, has demonstrated to be one of the most adequate forms to ease the exploration of data. ...
Cláudia Antunes
PAKDD
2009
ACM
87views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Application-Independent Feature Construction from Noisy Samples
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
MLDM
2007
Springer
14 years 1 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 8 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
BMCBI
2011
12 years 11 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde