2395 search results - page 82 / 479 » A selective sampling approach to active feature selection |
IJCAI
2007
13 years 11 months ago
2007
An “active learning system” will sequentially decide which unlabeled instance to label, with the goal of efficiently gathering the information necessary to produce a good cla...
PR
2008
13 years 10 months ago
2008
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
JUCS
2008
13 years 10 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
CIKM
2011
Springer
12 years 10 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...