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» Learning Models for Multi-Source Integration
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ECCV
2006
Springer
15 years 11 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
AAAI
2010
14 years 11 months ago
Integrated Systems for Inducing Spatio-Temporal Process Models
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
Chunki Park, Will Bridewell, Pat Langley
SKG
2006
IEEE
15 years 3 months ago
Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
Yong Wang, Hong-Jie Xing
ICALT
2007
IEEE
15 years 3 months ago
The Web 2.0 Driven SECI Model Based Learning Process
Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...
Mohamed Amine Chatti, Ralf Klamma, Matthias Jarke,...
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GI
2004
Springer
15 years 2 months ago
Integrating an Agile Process in a Model Driven Architecture
The model driven development is an interested area among software engineers as well as the agile development. In fact, combining model driven and agile practices is an interesting ...
Paloma Cáceres, Francisco Díaz, Espe...