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» Selection of Subsets of Ordered Features in Machine Learning
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CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 7 months ago
An In-depth Analysis of Spam and Spammers
Electronic mail services have become an important source of communication for millions of people all over the world. Due to this tremendous growth, there has been a significant in...
Dhinaharan Nagamalai, Beatrice Cynthia Dhinakaran,...
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 3 months ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
AAAI
2007
14 years 12 months ago
On the Prospects for Building a Working Model of the Visual Cortex
Human visual capability has remained largely beyond the reach of engineered systems despite intensive study and considerable progress in problem understanding, algorithms and comp...
Thomas Dean, Glenn Carroll, Richard Washington
105
Voted
USS
2010
14 years 7 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 10 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