191 search results - page 23 / 39 » Data Condensation in Large Databases by Incremental Learning... |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Subgroup discovery is the task of identifying the top k patterns in a database with most significant deviation in the distribution of a target attribute Y . Subgroup discovery is ...
BMCBI
2010
13 years 2 months ago
2010
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
DAGM
2004
Springer
14 years 29 days ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
DEXA
2010
Springer
13 years 8 months ago
2010
Springer
Mechanical properties are the attributes that measure the faculty of a metal to withstand several loads and tensions. Specifically, ultimate tensile strength is the force a materia...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...