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DIS
2009
Springer
14 years 4 months ago
The Two Faces of Active Learning
We present an active learning scheme that exploits cluster structure in data.
Sanjoy Dasgupta
ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 8 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 4 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
KDD
2006
ACM
181views Data Mining» more  KDD 2006»
14 years 10 months ago
Cryptographically private support vector machines
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
Helger Lipmaa, Sven Laur, Taneli Mielikäinen
COLT
2007
Springer
14 years 4 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak