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179
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SOCRATES
2008
15 years 8 months ago
2008
The purpose of this paper is to build a picture of knowledge construction models in online education. The study describes the knowledge construction process of a group of vocation...
288
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KDD
2010
ACM
15 years 5 months ago
2010
ACM
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
193
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COLT
1991
Springer
15 years 10 months ago
1991
Springer
While most theoretical work in machine learning has focused on the complexity of learning, recently there has been increasing interest in formally studying the complexity of teach...
205
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SOFSEM
2010
Springer
16 years 4 months ago
2010
Springer
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
223
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
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...