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PAMI
2006
206views more  PAMI 2006»
14 years 9 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
DASFAA
2007
IEEE
173views Database» more  DASFAA 2007»
15 years 4 months ago
Towards Adaptive Information Merging Using Selected XML Fragments
As XML information proliferates on the Web, searching XML information via a search engine is crucial to the experience of both casual and experienced Web users. The returned XML fr...
Ho Lam Lau, Wilfred Ng
JSA
1998
74views more  JSA 1998»
14 years 9 months ago
Windowed active sampling for reliable neural learning
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
Emilia I. Barakova, Lambert Spaanenburg
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
15 years 11 months ago
Query Estimation by Adaptive Sampling
The ability to provide accurate and efficient result estimations of user queries is very important for the query optimizer in database systems. In this paper, we show that the tra...
Yi-Leh Wu, Divyakant Agrawal, Amr El Abbadi
DMDW
2000
161views Management» more  DMDW 2000»
14 years 11 months ago
View materialization for nested GPSJ queries
View materialization is a central issue in logical design of data warehouses since it is one of the most powerful techniques to improve the response to the workload. Most approach...
Matteo Golfarelli, Stefano Rizzi