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» Approximation Methods for Supervised Learning
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AAAI
2011
12 years 7 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
AAAI
2008
13 years 10 months ago
Semi-Supervised Learning for Blog Classification
Blog classification (e.g., identifying bloggers' gender or age) is one of the most interesting current problems in blog analysis. Although this problem is usually solved by a...
Daisuke Ikeda, Hiroya Takamura, Manabu Okumura
ACL
2006
13 years 9 months ago
Semi-Supervised Learning of Partial Cognates Using Bilingual Bootstrapping
Partial cognates are pairs of words in two languages that have the same meaning in some, but not all contexts. Detecting the actual meaning of a partial cognate in context can be ...
Oana Frunza, Diana Zaiu Inkpen
ICRA
2008
IEEE
141views Robotics» more  ICRA 2008»
14 years 2 months ago
Tracking interacting targets with laser scanner via on-line supervised learning
— Successful multi-target tracking requires locating the targets and labeling their identities. For the laser based tracking system, the latter becomes significantly more challen...
Xuan Song, Jinshi Cui, Xulei Wang, Huijing Zhao, H...
ROCAI
2004
Springer
14 years 27 days ago
An Empirical Evaluation of Supervised Learning for ROC Area
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
Rich Caruana, Alexandru Niculescu-Mizil