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» Machine Learning with Data Dependent Hypothesis Classes
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TIT
1998
80views more  TIT 1998»
13 years 8 months ago
Structural Risk Minimization Over Data-Dependent Hierarchies
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
John Shawe-Taylor, Peter L. Bartlett, Robert C. Wi...
MICCAI
2010
Springer
13 years 7 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
COLT
2001
Springer
14 years 1 months ago
On the Synthesis of Strategies Identifying Recursive Functions
A classical learning problem in Inductive Inference consists of identifying each function of a given class of recursive functions from a finite number of its output values. Unifor...
Sandra Zilles
CVPR
2012
IEEE
11 years 11 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
ICML
2007
IEEE
14 years 9 months ago
Multi-armed bandit problems with dependent arms
We provide a framework to exploit dependencies among arms in multi-armed bandit problems, when the dependencies are in the form of a generative model on clusters of arms. We find ...
Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarw...