scholarly journals Classifying Relational Data with Neural Networks

2005 ◽  
pp. 384-396 ◽  
Author(s):  
Werner Uwents ◽  
Hendrik Blockeel
Keyword(s):  
Neural Networks ◽  
Relational Data

scholarly journals Induction of Interpretable Possibilistic Logic Theories from Relational Data

2017 ◽  
Author(s):  
Ondrej Kuzelka ◽  
Jesse Davis ◽  
Steven Schockaert
Keyword(s):  
Neural Networks ◽  
Probabilistic Models ◽  
Relational Learning ◽  
Statistical Relational Learning ◽  
Relational Data ◽  
Markov Logic Networks ◽  
Relational Models ◽  
Markov Logic ◽  
Possibilistic Logic ◽  
Interpretable Models

The field of statistical relational learning (SRL) is concerned with learning probabilistic models from relational data. Learned SRL models are typically represented using some kind of weighted logical formulas, which makes them considerably more interpretable than those obtained by e.g. neural networks. In practice, however, these models are often still difficult to interpret correctly, as they can contain many formulas that interact in non-trivial ways and weights do not always have an intuitive meaning. To address this, we propose a new SRL method which uses possibilistic logic to encode relational models. Learned models are then essentially stratified classical theories, which explicitly encode what can be derived with a given level of certainty. Compared to Markov Logic Networks (MLNs), our method is faster and produces considerably more interpretable models.

scholarly journals Neural Networks for Relational Data

2020 ◽  
pp. 62-71
Author(s):  
Navdeep Kaur ◽  
Gautam Kunapuli ◽  
Saket Joshi ◽  
Kristian Kersting ◽  
Sriraam Natarajan
Keyword(s):  
Neural Networks ◽  
Relational Data

Determination of S-N curves with the application of artificial neural networks

1999 ◽  
Vol 22 (8) ◽  
pp. 723-728 ◽  
Author(s):  
Artymiak ◽  
Bukowski ◽  
Feliks ◽  
Narberhaus ◽  
Zenner
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural

Review of Pattern Recognition by Self-Organizing Neural Networks.

1995 ◽  
Vol 40 (11) ◽  
pp. 1110-1110
Author(s):  
Stephen James Thomas
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Self Organizing

Temporal processing with neural networks

1998 ◽  
Author(s):  
Jeffrey L. Elman
Keyword(s):  
Neural Networks ◽  
Temporal Processing

Recording and Analysis of Biological Neural Networks

1998 ◽  
Author(s):  
Howard Eichenbaum ◽  
Keyword(s):  
Neural Networks ◽  
Biological Neural Networks

Holographic Neural Networks

2007 ◽  
Author(s):  
Michael N. Jones
Keyword(s):  
Neural Networks

Applications of Neural Networks to Adaptive Training Networks

1992 ◽  
Author(s):  
Peter L. Rothman
Keyword(s):  
Neural Networks ◽  
Adaptive Training
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