890 search results - page 37 / 178 » Large Scale Online Learning |
125
click to vote
ESANN
2006
15 years 3 months ago
2006
Abstract. We present the OnlineDoubleMaxMinOver approach to obtain the Support Vectors in two class classification problems. With its linear time complexity and linear convergence ...
140
click to vote
ISNN
2004
Springer
15 years 7 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
129
click to vote
SIGMOD
2012
ACM
13 years 4 months ago
2012
ACM
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
101
click to vote
CIRA
2007
IEEE
15 years 8 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
110
click to vote
ATAL
2009
Springer
15 years 8 months ago
2009
Springer
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...