1900 search results - page 224 / 380 » Gaussian Processes in Machine Learning |
86
Voted
NIPS
2007
15 years 1 months ago
2007
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
96
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We describe an algorithm for clustering using a similarity graph. The algorithm (a) runs in O(n log3 n + m log n) time on graphs with n vertices and m edges, and (b) with high pro...
110
Voted
ICML
2010
IEEE
15 years 21 days ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
114
Voted
ML
2008
ACM
15 years 13 days ago
2008
ACM
Standard pattern discovery techniques, such as association rules, suffer an extreme risk of finding very large numbers of spurious patterns for many knowledge discovery tasks. The...
124
Voted
AIR
2005
15 years 12 days ago
2005
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...