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NEUROSCIENCE
2001
Springer
13 years 9 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
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...
Doina Caragea, Adrian Silvescu, Vasant Honavar
WIIW
2001
122views more  WIIW 2001»
13 years 6 months ago
A Framework for Molecular Biology Data Integration
: Molecular biology data are placed in different databases, repositories and flat files, usually distributed over the web. Distinct data models with schemas that are often changing...
Sérgio Lifschitz, Luiz Fernando Bessa Seibe...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 6 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
COMAD
2008
13 years 6 months ago
Information Integration Across Heterogeneous Sources: Where Do We Stand and How to Proceed?
Today, information integration has assumed a completely different, complex connotation than what it used to be. The advent of the Internet, the proliferation of information source...
Aditya Telang, Sharma Chakravarthy, Yan Huang
ICDCS
2002
IEEE
13 years 9 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...