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» Learning Classifiers from Semantically Heterogeneous Data
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ANSOFT
2002
171views more  ANSOFT 2002»
13 years 10 months ago
OPM/Web - Object-Process Methodology for Developing Web Applications
Web applications can be classified as hybrids between hypermedia and information systems. They have a relatively simple distributed architecture from the user viewpoint, but a comp...
Iris Reinhartz-Berger, Dov Dori, Shmuel Katz
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
14 years 2 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
ICCV
2009
IEEE
15 years 3 months ago
Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Learning to cope with domain change has been known as a challenging problem in many real-world applications. This paper proposes a novel and efficient approach, named domain ada...
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah ...
IJSEKE
2011
141views more  IJSEKE 2011»
13 years 1 months ago
Risk Assessment in Multi-disciplinary (Software+) Engineering Projects
Software systems in safety-critical industrial automation systems, such as power plants and steel mills, become increasingly large, complex, and distributed. For assessing risks, l...
Stefan Biffl, Thomas Moser, Dietmar Winkler
ICPR
2006
IEEE
14 years 11 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...