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» Learning with Globally Predictive Tests
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JCIT
2010
190views more  JCIT 2010»
14 years 4 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
SIGIR
2009
ACM
15 years 4 months ago
Global ranking by exploiting user clicks
It is now widely recognized that user interactions with search results can provide substantial relevance information on the documents displayed in the search results. In this pape...
Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-...
CAIP
2005
Springer
159views Image Analysis» more  CAIP 2005»
14 years 11 months ago
Global Color Image Features for Discrete Self-localization of an Indoor Vehicle
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
Wlodzimierz Kasprzak, Ewa Wojciech Szynkiewicz, Mi...
ICML
2010
IEEE
14 years 10 months ago
Random Spanning Trees and the Prediction of Weighted Graphs
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
92
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COGSCI
2010
80views more  COGSCI 2010»
14 years 9 months ago
The Interactive Evolution of Human Communication Systems
This paper compares two explanations of the process by which human communication systems evolve: iterated learning and social collaboration. It then reports an experiment testing ...
Nicolas Fay, Simon Garrod, Leo Roberts, Nik Swobod...