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CIKM
2011
Springer
14 years 5 months ago
Towards feature selection in network
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...
Quanquan Gu, Jiawei Han
WWW
2010
ACM
16 years 1 days ago
Using landing pages for sponsored search ad selection
We explore the use of the landing page content in sponsored search ad selection. Specifically, we compare the use of the ad’s intrinsic content to augmenting the ad with the wh...
Yejin Choi, Marcus Fontoura, Evgeniy Gabrilovich, ...
LCTRTS
2010
Springer
15 years 12 months ago
Analysis and approximation for bank selection instruction minimization on partitioned memory architecture
A large number of embedded systems include 8-bit microcontrollers for their energy efficiency and low cost. Multi-bank memory architecture is commonly applied in 8-bit microcontr...
Minming Li, Chun Jason Xue, Tiantian Liu, Yingchao...
JUCS
2008
130views more  JUCS 2008»
15 years 5 months ago
Feature Selection for the Classification of Large Document Collections
: 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...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
ICCV
2007
IEEE
16 years 7 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002