640 search results - page 51 / 128 » Extracting Propositions from Trained Neural Networks |
IJCAI
1997
14 years 11 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...
118
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
104
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NPL
2006
14 years 9 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
ACSC
2008
IEEE
14 years 11 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
IJCAI
2007
14 years 11 months ago
2007
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...