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» Introduction to Statistical Learning Theory
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CCS
2007
ACM
13 years 12 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 8 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 4 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
CORR
2008
Springer
72views Education» more  CORR 2008»
13 years 5 months ago
Statistical Learning of Arbitrary Computable Classifiers
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
David Soloveichik
CORR
2010
Springer
101views Education» more  CORR 2010»
13 years 5 months ago
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
We develop a theory of online learning by defining several complexity measures. Among them are analogues of Rademacher complexity, covering numbers and fatshattering dimension fro...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari