340 search results - page 45 / 68 » Classifying Relational Data with Neural Networks |
ADMA
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
119
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KDD
2009
ACM
16 years 8 days ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
NN
2006
Springer
14 years 11 months ago
2006
Springer
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
IPPS
1999
IEEE
15 years 4 months ago
1999
IEEE
The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
116
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ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...