321 search results - page 52 / 65 » A Review of Relational Machine Learning for Knowledge Graphs |
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
ICMLC
2010
Springer
13 years 8 months ago
2010
Springer
: This paper presents a system for predicting dangerous driving events while driving on an expressway. There are three major tasks involved in the prediction system: (1) how to per...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
ECCB
2005
IEEE
14 years 4 months ago
2005
IEEE
Many areas of modern biology are concerned with the management, storage, visualization, comparison, and analysis of networks. For instance, networks are used to model signal trans...