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» Strong Separation of Learning Classes
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AII
1992
15 years 1 months ago
Strong Separation of Learning Classes
John Case, Keh-Jiann Chen, Sanjay Jain
ICALP
2001
Springer
15 years 1 months ago
Separating Quantum and Classical Learning
We consider a model of learning Boolean functions from quantum membership queries. This model was studied in [26], where it was shown that any class of Boolean functions which is i...
Rocco A. Servedio
COLT
2005
Springer
15 years 3 months ago
Separating Models of Learning from Correlated and Uncorrelated Data
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andr...
SIGCSE
2004
ACM
94views Education» more  SIGCSE 2004»
15 years 2 months ago
Enhancing apprentice-based learning of Java
Various methods have been proposed in the past to improve student learning by introducing new styles of working with assignments. These include problem-based learning, use of case...
Michael Kölling, David J. Barnes
PR
2007
139views more  PR 2007»
14 years 9 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai