121 search results - page 10 / 25 » Analysis and Synthesis of Agents That Learn from Distributed... |
AAAI
2011
12 years 7 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
SP
2006
IEEE
14 years 1 months ago
2006
IEEE
Linux is the most popular open source project. The Linux random number generator is part of the kernel of all Linux distributions and is based on generating randomness from entrop...
AAAI
2006
13 years 9 months ago
2006
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
ICWS
2004
IEEE
13 years 9 months ago
2004
IEEE
We address the problem of large-scale data integration, where the data sources are unknown at design time, are from autonomous organisations, and may evolve. Experiments are descr...
FGCS
2007
13 years 7 months ago
2007
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...