243 search results - page 2 / 49 » Learning Classifiers from Distributed, Ontology-Extended Dat... |
NEUROSCIENCE
2001
Springer
13 years 10 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
IJCAI
2003
13 years 6 months ago
2003
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
DATAMINE
2006
13 years 5 months ago
2006
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
PR
2011
12 years 8 months ago
2011
The existing Multi-View Learning (MVL) learns how to process patterns with multiple information sources. In generalization this MVL is proven to have a significant advantage over...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...