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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
10 years 6 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the diļ¬€erent sites ha...
Srujana Merugu, Joydeep Ghosh
ICEIS
2009
IEEE
10 years 8 months ago
DeXIN: An Extensible Framework for Distributed XQuery over Heterogeneous Data Sources
Abstract. In the Web environment, rich, diverse sources of heterogeneous and distributed data are ubiquitous. In fact, even the information characterizing a single entity - like, f...
Muhammad Intizar Ali, Reinhard Pichler, Hong Linh ...
DILS
2005
Springer
10 years 6 months ago
Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources
Abstract. We present INDUS (Intelligent Data Understanding System), a federated, query-centric system for knowledge acquisition from autonomous, distributed, semantically heterogen...
Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian ...
IJCAI
2003
10 years 2 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
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,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
ECML
2004
Springer
10 years 6 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
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