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» On learning with dissimilarity functions
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COLT
1993
Springer
15 years 10 months ago
Lower Bounds on the Vapnik-Chervonenkis Dimension of Multi-Layer Threshold Networks
We consider the problem of learning in multilayer feed-forward networks of linear threshold units. We show that the Vapnik-Chervonenkis dimension of the class of functions that ca...
Peter L. Bartlett
IFIP3
1998
106views Education» more  IFIP3 1998»
15 years 8 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
ICML
2009
IEEE
16 years 1 months ago
Split variational inference
We propose a deterministic method to evaluate the integral of a positive function based on soft-binning functions that smoothly cut the integral into smaller integrals that are ea...
Guillaume Bouchard, Onno Zoeter
SIGIR
2009
ACM
16 years 1 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
ECML
2007
Springer
16 years 23 days ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales