2996 search results - page 312 / 600 » Numberings and Randomness |
168
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
I consider the setting of transductive learning of vertex labels in graphs, in which a graph with n vertices is sampled according to some unknown distribution; there is a true lab...
168
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
185
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
178
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PKC
2009
Springer
16 years 7 months ago
2009
Springer
This paper proposes a chosen-ciphertext secure variant of the ElGamal public-key encryption scheme which generates very compact ciphertexts for messages of arbitrary length. The ci...
159
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STOC
2007
ACM
16 years 7 months ago
2007
ACM
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...