2252 search results - page 312 / 451 » A distributed machine learning framework |
125
Voted
JSAC
2010
15 years 1 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
147
Voted
SSPR
2010
Springer
15 years 1 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
117
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
137
Voted
PAMI
2010
15 years 1 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
120
Voted
WOTUG
2008
15 years 4 months ago
2008
Abstract. Distributing process-oriented programs across a cluster of machines requires careful attention to the effects of network latency. The MPI standard, widely used for cluste...