A new meta-classifier

By Massimo Buscema, William J. Tastle. 2010

31 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Model Architectures

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Tomer D. Ullman
2. Josh Tenenbaum
3. Brenden M. Lake
4. Samuel J. Gershman
5. Fan Zhao
6. Zhangnan Wu
7. Erhu Zhang
8. Yuanyuan Ding

In Computational Theory and Mathematics

1. Josh Tenenbaum
2. Samuel J. Gershman
3. Brenden M. Lake

In Model Architectures

1. Brenden M. Lake
2. Josh Tenenbaum
3. Samuel J. Gershman
4. Tomer D. Ullman
5. Marco Baroni
6. Jacob Andreas
7. Tal Linzen
8. Yonatan Belinkov

Citations in the corpus

• What can the brain teach us about building artificial intelligence? (2016, background): ““deep” ANNs, mathematically very different from one another, on the same problem and to filter their results by means of a MetaNet (Buscema 1998; Buscema et al. 2010; 2013) that ignores their specific architectures, in terms of both prediction performance and biological plausibility.”
• Surface Defect Detection Methods for Industrial Products: A Review (2021, background): “html (accessed on 21 June 2021) UCI Steel Plates Faults Data Set [108,109] Strip steel https://archive.”