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» Statistical Learning Theory: A Primer
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AC
2003
Springer
13 years 10 months ago
Introduction to Statistical Learning Theory
Olivier Bousquet, Stéphane Boucheron, G&aac...
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 5 months ago
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kant...
CCS
2007
ACM
13 years 11 months ago
Keystroke statistical learning model for web authentication
Keystroke typing characteristics is considered as one of the important biometric features that can be used to protect users against malicious attacks. In this paper we propose a s...
Cheng-Huang Jiang, Shiuhpyng Shieh, Jen-Chien Liu
JMLR
2012
11 years 7 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
CORR
2010
Springer
47views Education» more  CORR 2010»
13 years 3 months ago
Applications of Lindeberg Principle in Communications and Statistical Learning
We use a generalization of the Lindeberg principle developed by Sourav Chatterjee to prove universality properties for various problems in communications, statistical learning and...
Satish Babu Korada, Andrea Montanari