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» Prediction from Partial Data, Renormalization, and Averaging
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ECAI
2004
Springer
15 years 2 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
BMCBI
2006
92views more  BMCBI 2006»
14 years 9 months ago
Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
Background: Genetic markers hold great promise for refining our ability to establish precise prognostic prediction for diseases. The development of comprehensive gene expression m...
Shigeyuki Matsui
ICS
1998
Tsinghua U.
15 years 1 months ago
Load Execution Latency Reduction
In order to achieve high performance, contemporary microprocessors must effectively process the four major instruction types: ALU, branch, load, and store instructions. This paper...
Bryan Black, Brian Mueller, Stephanie Postal, Ryan...
ICDM
2009
IEEE
143views Data Mining» more  ICDM 2009»
15 years 4 months ago
An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners
Abstract—Data sanitization has been used to restrict reidentification of individuals and disclosure of sensitive information from published data. We propose an attack on the pri...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
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