179 search results - page 6 / 36 » Neural Learning from Unbalanced Data Using Noise Modeling |
IJIT
2004
13 years 10 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
IJCAI
1997
13 years 10 months ago
1997
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
AI
2011
Springer
13 years 3 months ago
2011
Springer
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
ICRA
2007
IEEE
14 years 3 months ago
2007
IEEE
— Accurate and fast control of wheel speeds in the presence of noise and nonlinearities is one of the crucial requirements for building fast mobile robots, as they are required i...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...