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ACL
2004
14 years 11 months ago
Relieving the data Acquisition Bottleneck in Word Sense Disambiguation
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
Mona T. Diab
NIPS
2008
14 years 11 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo

Book
323views
16 years 8 months ago
Adaptive Object-Oriented Software: a PWS book
"This book introduces a software development method, called the Demeter Method, for developing adaptive object-oriented software. The reader will learn the Demeter Method for...
Karl J. Lieberherr
78
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ICASSP
2010
IEEE
14 years 10 months ago
Sound enhancement using sparse approximation with speclets
This paper addresses an innovative approach to informed enhancement of damaged sound. It uses sparse approximations with a learned dictionary of atoms modeling the main components...
Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz ...
IEICET
2007
68views more  IEICET 2007»
14 years 9 months ago
Generalization Error Estimation for Non-linear Learning Methods
Estimating the generalization error is one of the key ingredients of supervised learning since a good generalization error estimator can be used for model selection. An unbiased g...
Masashi Sugiyama