Sciweavers

2934 search results - page 416 / 587
» Hypothesis Spaces for Learning
Sort
View
NIPS
2001
15 years 7 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
IJCAI
1989
15 years 7 months ago
Concept Formation by Incremental Conceptual Clustering
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
Mirsad Hadzikadic, David Y. Y. Yun
NIPS
1990
15 years 7 months ago
Back Propagation is Sensitive to Initial Conditions
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...
John F. Kolen, Jordan B. Pollack
DAM
2007
84views more  DAM 2007»
15 years 6 months ago
Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets
Covering numbers of precompact symmetric convex subsets of Hilbert spaces are investigated. Lower bounds are derived for sets containing orthogonal subsets with norms of their ele...
Vera Kurková, Marcello Sanguineti
ALIFE
2002
15 years 6 months ago
Ant Colony Optimization and Stochastic Gradient Descent
In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
Nicolas Meuleau, Marco Dorigo