135 search results - page 8 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
83
Voted
NN
2007
Springer
14 years 9 months ago
2007
Springer
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
200
Voted
ICANN
2011
Springer
14 years 29 days ago
2011
Springer
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
89
Voted
NCA
2007
IEEE
14 years 9 months ago
2007
IEEE
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
JSA
1998
14 years 9 months ago
1998
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...