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JCB
2002
70views more  JCB 2002»
15 years 7 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
SIAMDM
2002
94views more  SIAMDM 2002»
15 years 7 months ago
How to Be an Efficient Snoop, or the Probe Complexity of Quorum Systems
A quorum system is a collection of sets (quorums) every two of which intersect. Quorum systems have been used for many applications in the area of distributed systems, including mu...
David Peleg, Avishai Wool
TOCHI
1998
89views more  TOCHI 1998»
15 years 7 months ago
Using Metalevel Techniques in a Flexible Toolkit for CSCW Applications
Ideally, software toolkits for collaborative applications should provide generic, reusable components, applicable in a wide range of circumstances, which software developers can as...
Paul Dourish
IJPRAI
2010
151views more  IJPRAI 2010»
15 years 6 months ago
Structure-Embedded AUC-SVM
: AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample...
Yunyun Wang, Songcan Chen, Hui Xue
MA
2010
Springer
172views Communications» more  MA 2010»
15 years 6 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
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