36 search results - page 3 / 8 » Exploiting Upper Approximation in the Rough Set Methodology |
KBS
2008
13 years 7 months ago
2008
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
ICCBR
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
SIGMOD
2004
ACM
14 years 8 months ago
2004
ACM
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
KDD
2010
ACM
14 years 13 days ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...