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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 9 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
SEMCO
2008
IEEE
14 years 3 months ago
Using Similarity Measures for Context-Aware User Interfaces
Context-aware user interfaces facilitate the user interaction by suggesting or prefilling data derived from the user’s current context. This raises the problem of mapping conte...
Melanie Hartmann, Torsten Zesch, Max Mühlh&au...
BMCBI
2010
208views more  BMCBI 2010»
13 years 8 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
IJCNN
2007
IEEE
14 years 3 months ago
Agnostic Learning vs. Prior Knowledge Challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
BMVC
2010
13 years 6 months ago
Weakly Supervised Object Recognition and Localization with Invariant High Order Features
High order features have been proposed to incorporate geometrical information into the "bag of feature" representation. We propose algorithms to perform fast weakly supe...
Yimeng Zhang, Tsuhan Chen