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» New Algorithms for Learning in Presence of Errors
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STOC
2005
ACM
198views Algorithms» more  STOC 2005»
14 years 7 months ago
On lattices, learning with errors, random linear codes, and cryptography
Our main result is a reduction from worst-case lattice problems such as GAPSVP and SIVP to a certain learning problem. This learning problem is a natural extension of the `learnin...
Oded Regev
COLT
2007
Springer
14 years 1 months ago
Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking
We describe and analyze a new approach for feature ranking in the presence of categorical features with a large number of possible values. It is shown that popular ranking criteria...
Sivan Sabato, Shai Shalev-Shwartz
ICMCS
2000
IEEE
94views Multimedia» more  ICMCS 2000»
13 years 12 months ago
DCT Coefficient-Based Error Detection Technique for Compressed Video Stream
: In the process of transmission of digital encoded video bit streams over physical network, the data is corrupted by random bit errors, which has a several effect on the decoded v...
K. Bhattacharyya, H. S. Jamadagni
IJCAI
2003
13 years 8 months ago
Does a New Simple Gaussian Weighting Approach Perform Well in Text Categorization?
A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...
Giorgio Maria Di Nunzio, Alessandro Micarelli
GCB
2006
Springer
140views Biometrics» more  GCB 2006»
13 years 11 months ago
PALMA: Perfect Alignments using Large Margin Algorithms
: Despite many years of research on how to properly align sequences in the presence of sequencing errors, alternative splicing and micro-exons, the correct alignment of mRNA sequen...
Gunnar Rätsch, Bettina Hepp, Uta Schulze, Che...