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ICANN
2005
Springer
15 years 3 months ago
Model Selection Under Covariate Shift
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
Masashi Sugiyama, Klaus-Robert Müller
CVIU
2008
188views more  CVIU 2008»
14 years 10 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
14 years 7 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
COLING
2002
14 years 9 months ago
A Robust Cross-Style Bilingual Sentences Alignment Model
Most current sentence alignment approaches adopt sentence length and cognate as the alignment features; and they are mostly trained and tested in the documents with the same style...
Tz-Liang Kueng, Keh-Yih Su
SIGIR
2008
ACM
14 years 9 months ago
Learning query intent from regularized click graphs
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Xiao Li, Ye-Yi Wang, Alex Acero