363 search results - page 27 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
APPT
2009
Springer
14 years 2 months ago
2009
Springer
MapReduce has been prevalent for running data-parallel applications. By hiding other non-functionality parts such as parallelism, fault tolerance and load balance from programmers,...
TKDE
2010
13 years 6 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...