363 search results - page 6 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
SEKE
2004
Springer
14 years 25 days ago
2004
Springer
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
NOSSDAV
2010
Springer
14 years 8 days ago
2010
Springer
Synchronization is a challenge in the multi-site 3D teleimmersion (3DTI) because it is complicated by the coexistence of highly correlated heterogenous streams from multiple sourc...
ICANN
2005
Springer
14 years 28 days ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...