2090 search results - page 2 / 418 » Learning with attribute costs |
KDD
1995
ACM
13 years 8 months ago
1995
ACM
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
WWW
2011
ACM
13 years 8 days ago
2011
ACM
Facial attributes such as gender, race, age, hair style, etc., carry rich information for locating designated persons and profiling the communities from image/video collections (...
ISCI
2007
13 years 5 months ago
2007
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
AUSAI
2005
Springer
13 years 11 months ago
2005
Springer
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...