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AII
1992
13 years 9 months ago
Strong Separation of Learning Classes
John Case, Keh-Jiann Chen, Sanjay Jain
ICALP
2001
Springer
13 years 9 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
13 years 10 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»
13 years 10 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»
13 years 4 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