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COLT
2005
Springer
15 years 6 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...
101
Voted
IFIP3
1998
106views Education» more  IFIP3 1998»
15 years 1 months ago
Conception and Realization of the Offline Navigator in the Virtual University
The concept of the Virtual University offers a new learning environment for distance education. All the functionalities of a conventional university are available to the students ...
Thomas Demuth, Andreas Rieke, Dagmar Sommer
COLT
2003
Springer
15 years 5 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
106
Voted
ICML
2008
IEEE
16 years 1 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
119
Voted
AIME
1997
Springer
15 years 4 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....