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» A PAC Bound for Approximate Support Vector Machines
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MLG
2007
Springer
14 years 1 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich

Book
34534views
15 years 6 months ago
OpenCV - Open Source Computer Vision Reference Manual
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform. It is highl...
Intel
ICML
2008
IEEE
14 years 8 months ago
Modified MMI/MPE: a direct evaluation of the margin in speech recognition
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
Georg Heigold, Hermann Ney, Ralf Schlüter, Th...
STOC
2010
ACM
199views Algorithms» more  STOC 2010»
14 years 6 days ago
Zero-One Frequency Laws
Data streams emerged as a critical model for multiple applications that handle vast amounts of data. One of the most influential and celebrated papers in streaming is the “AMS...
Vladimir Braverman and Rafail Ostrovsky
JMLR
2010
123views more  JMLR 2010»
13 years 5 months ago
Maximum Relative Margin and Data-Dependent Regularization
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of separation betw...
Pannagadatta K. Shivaswamy, Tony Jebara