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» Generalization Error Bounds Using Unlabeled Data
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PG
2007
IEEE
14 years 2 months ago
Papercraft Models using Generalized Cylinders
We introduce an algorithm for approximating a 2manifold 3D mesh by a set of developable surfaces. Each developable surface is a generalized cylinder represented as a strip of tria...
Fady Massarwi, Craig Gotsman, Gershon Elber
PAKDD
2009
ACM
151views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Budget Semi-supervised Learning
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...
Zhi-Hua Zhou, Michael Ng, Qiao-Qiao She, Yuan Jian...
JMLR
2010
102views more  JMLR 2010»
13 years 3 months ago
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubram...
ICDCS
2008
IEEE
14 years 2 months ago
Mobile Filtering for Error-Bounded Data Collection in Sensor Networks
In wireless sensor networks, filters, which suppress data update reports within predefined error bounds, effectively reduce the traffic volume for continuous data collection. A...
Dan Wang, Jianliang Xu, Jiangchuan Liu, Feng Wang
COLING
2010
13 years 3 months ago
Semi-supervised dependency parsing using generalized tri-training
Martins et al. (2008) presented what to the best of our knowledge still ranks as the best overall result on the CONLLX Shared Task datasets. The paper shows how triads of stacked ...
Anders Søgaard, Christian Rishøj