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» Sparse Additive Machine
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97
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ICML
2008
IEEE
16 years 1 months ago
Training SVM with indefinite kernels
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
Jianhui Chen, Jieping Ye
143
Voted
ESSMAC
2003
Springer
15 years 6 months ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...
140
Voted
SSDBM
1999
IEEE
140views Database» more  SSDBM 1999»
15 years 5 months ago
An Infrastructure for Scalable Parallel Multidimensional Analysis
Multidimensional Analysis in On-Line Analytical Processing (OLAP), and Scientific and statistical databases (SSDB) use operations requiring summary information on multi-dimensiona...
Sanjay Goil, Alok N. Choudhary
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 4 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
108
Voted
ACSAC
2009
IEEE
15 years 7 months ago
The Design of a Trustworthy Voting System
– After the voting debacle in the Florida Presidential election of 2000 with its now-fabled hanging chads and pregnant chads, many voting jurisdictions turned to electronic votin...
Nathanael Paul, Andrew S. Tanenbaum