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SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 9 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
WWW
2009
ACM
16 years 7 months ago
Constructing folksonomies from user-specified relations on flickr
Automatic folksonomy construction from tags has attracted much attention recently. However, inferring hierarchical relations between concepts from tags has a drawback in that it i...
Anon Plangprasopchok, Kristina Lerman
WSDM
2010
ACM
236views Data Mining» more  WSDM 2010»
16 years 4 months ago
Personalized Click Prediction in Sponsored Search
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users click on ads is crucial to sponsor...
Erick Cantú-Paz, Haibin Cheng
WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
16 years 1 months ago
Top-k aggregation using intersections of ranked inputs
There has been considerable past work on efficiently computing top k objects by aggregating information from multiple ranked lists of these objects. An important instance of this...
Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vas...
CIKM
2008
Springer
15 years 8 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan