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JMLR
2002
115views more  JMLR 2002»
15 years 6 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
MT
2002
107views more  MT 2002»
15 years 6 months ago
Translation with Scarce Bilingual Resources
Machine translation of human languages is a field almost as old as computers themselves. Recent approaches to this challenging problem aim at learning translation knowledge automat...
Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, K...
PAMI
1998
94views more  PAMI 1998»
15 years 6 months ago
Unconstrained Automatic Image Matching Using Multiresolutional Critical-Point Filters
—This paper proposes a novel method for matching images. The results can be used for a variety of applications: fully automatic morphing, object recognition, stereo photogrammetr...
Yoshihisa Shinagawa, Tosiyasu L. Kunii
PRL
2002
67views more  PRL 2002»
15 years 6 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu
SIGMETRICS
2002
ACM
115views Hardware» more  SIGMETRICS 2002»
15 years 6 months ago
Maximum likelihood network topology identification from edge-based unicast measurements
Network tomography is a process for inferring "internal" link-level delay and loss performance information based on end-to-end (edge) network measurements. These methods...
Mark Coates, Rui Castro, Robert Nowak, Manik Gadhi...