4560 search results - page 223 / 912 » Finding Data in the Neighborhood |
171
click to vote
ICECCS
2002
IEEE
15 years 11 months ago
2002
IEEE
This paper presents an approach for generating test data for unit-level, and possibly integration-level, testing based on sampling over intervals of the input probability distribu...
167
click to vote
GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
180
click to vote
HIS
2004
15 years 8 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
204
click to vote
JMLR
2008
15 years 6 months ago
2008
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
147
click to vote
ML
2007
ACM
15 years 6 months ago
2007
ACM
The problem of disjoint sets, also known as union-find, consists in maintaining a partition of a finite set within a data structure. This structure provides two operations: a fu...