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SASO
2008
IEEE
14 years 4 days ago
Pervasive Self-Learning with Multi-modal Distributed Sensors
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...
VIEWS
1996
81views more  VIEWS 1996»
13 years 7 months ago
A System Prototype for Warehouse View Maintenance
A data warehouse collects and integrates data from multiple, autonomous, heterogeneous, sources. The warehouse e ectively maintains one or more materialized views over the source ...
Janet L. Wiener, Himanshu Gupta, Wilburt Labio, Yu...
IEAAIE
2003
Springer
13 years 11 months ago
Intelligent Support for Solving Classification Differences in Statistical Information Integration
Integration of heterogeneous statistics is essential for political decision making on all levels. Like in intelligent information integration in general, the problem is to combine ...
Catholijn M. Jonker, Tim Verwaart
CSB
2005
IEEE
210views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Problem Solving Environment Approach to Integrating Diverse Biological Data Sources
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
Eric G. Stephan, Kyle R. Klicker, Mudita Singhal, ...
AAAI
2011
12 years 5 months ago
Heterogeneous Transfer Learning with RBMs
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...
Bin Wei, Christopher Pal