889 search results - page 91 / 178 » Observational Learning in Random Networks |
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
VLSISP
2010
13 years 7 months ago
2010
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
CSE
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract—Social networks can be used to model social interactions between individuals. In many circumstances, not all interactions between individuals are observed. In such cases...
BMCBI
2005
13 years 9 months ago
2005
Background: Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false nega...