Sciweavers

3941 search results - page 11 / 789
» Computational Efficiency of Batching Methods
Sort
View
CVPR
2010
IEEE
14 years 3 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
HPDC
2008
IEEE
14 years 2 months ago
Combining batch execution and leasing using virtual machines
As cluster computers are used for a wider range of applications, we encounter the need to deliver resources at particular times, to meet particular deadlines, and/or at the same t...
Borja Sotomayor, Kate Keahey, Ian T. Foster
JMLR
2008
230views more  JMLR 2008»
13 years 7 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
JPDC
2006
100views more  JPDC 2006»
13 years 7 months ago
An integrated admission control scheme for the delivery of streaming media
Quality of service (QoS) assurance is a major concern in media-on-demand (MoD) systems. Admission control is one of the most important issues that need to be addressed for QoS ass...
Zhonghang Xia, I-Ling Yen, Donglei Du, Peng Li
ATAL
2007
Springer
14 years 1 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone