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ICML
2007
IEEE
16 years 2 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
HICSS
2006
IEEE
86views Biometrics» more  HICSS 2006»
15 years 7 months ago
How Voluntary Online Learning Communities Emerge in Blended Courses
A comparative case study used content analysis to observe the emergence of voluntary online learning communities in two blended courses. The study developed an interaction-based a...
Robert Heckman, Qing Li, Xue Xiao
LREC
2008
110views Education» more  LREC 2008»
15 years 2 months ago
Cost-Sensitive Learning in Answer Extraction
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
Michael Wiegand, Jochen L. Leidner, Dietrich Klako...
114
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CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 1 months ago
Tight Sample Complexity of Large-Margin Learning
We obtain a tight distribution-specific characterization of the sample complexity of large-margin classification with L2 regularization: We introduce the -adapted-dimension, which...
Sivan Sabato, Nathan Srebro, Naftali Tishby
COLCOM
2009
IEEE
15 years 6 months ago
Learning communities supported by autonomic recommendation mechanism
- Peer-to-peer (P2P) offers good solutions for many applications such as large data sharing and collaboration. Thus, it appears as a powerful paradigm to develop scalable distribut...
Stainam N. Brandao, Ricardo T. Silva, Jano M. Souz...