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BMCBI
2010
224views more  BMCBI 2010»
13 years 8 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
ICCV
2005
IEEE
14 years 2 months ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
TKDE
2010
137views more  TKDE 2010»
13 years 7 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
CLOUD
2010
ACM
14 years 1 months ago
Google fusion tables: data management, integration and collaboration in the cloud
Google Fusion Tables is a cloud-based service for data management and integration. Fusion Tables enables users to upload tabular data files (spreadsheets, CSV, KML), currently of...
Hector Gonzalez, Alon Y. Halevy, Christian S. Jens...
IDA
1997
Springer
14 years 26 days ago
How to Find Big-Oh in Your Data Set (and How Not to)
The empirical curve bounding problem is de ned as follows. Suppose data vectors X Y are presented such that E(Y i]) = f(X i]) where f(x) is an unknown function. The problem is to a...
Catherine C. McGeoch, Doina Precup, Paul R. Cohen