1969 search results - page 46 / 394 » Fuzzy sets in machine learning and data mining |
RSFDGRC
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
GECCO
2006
Springer
14 years 13 days ago
2006
Springer
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
KDD
1998
ACM
14 years 1 months ago
1998
ACM
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...