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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 6 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
ISORC
2005
IEEE
16 years 5 days ago
Heterogeneous Adaptive Component-Based Applications with Adaptive.Net
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...
Andreas Rasche, Marco Puhlmann, Andreas Polze
ESWS
2005
Springer
16 years 3 days ago
Web Explanations for Semantic Heterogeneity Discovery
Managing semantic heterogeneity is a complex task. One solution involves matching like terms to each other. We view Match as an operator that takes two graph-like structures (e.g....
Pavel Shvaiko, Fausto Giunchiglia, Paulo Pinheiro ...
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
16 years 2 days 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 different sites ha...
Srujana Merugu, Joydeep Ghosh
DEXA
2004
Springer
110views Database» more  DEXA 2004»
15 years 12 months ago
An a Priori Approach for Automatic Integration of Heterogeneous and Autonomous Databases
Data integration is the process that gives users access to multiple data sources though queries against a global schema. Semantic heterogeneity has been identified as the most imp...
Ladjel Bellatreche, Guy Pierra, Dung Nguyen Xuan, ...