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JMLR
2010
135views more  JMLR 2010»
14 years 6 months ago
An Exponential Model for Infinite Rankings
This paper presents a statistical model for expressing preferences through rankings, when the number of alternatives (items to rank) is large. A human ranker will then typically r...
Marina Meila, Le Bao
ISBI
2011
IEEE
14 years 3 months ago
Sparse topological data recovery in medical images
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Ch...
ASPDAC
2004
ACM
102views Hardware» more  ASPDAC 2004»
15 years 5 months ago
TranGen: a SAT-based ATPG for path-oriented transition faults
— This paper presents a SAT-based ATPG tool targeting on a path-oriented transition fault model. Under this fault model, a transition fault is detected through the longest sensit...
Kai Yang, Kwang-Ting Cheng, Li-C. Wang
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 4 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 7 days ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...