Using a Gaussian mixture neural network for incremental learning and robotics

By Milton Roberto Heinen, Paulo Martins Engel, Rafael Coimbra Pinto. 2012

15 citations recorded by the source corpus.

Subfields: Artificial Intelligence

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. Mohammad Rostami
2. Soheil Kolouri
3. Praveen K. Pilly
4. Zixuan Ke
5. Serban Stan
6. Bing Liu
7. Eric Eaton
8. Bin Liu

Citations in the corpus

• Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay (2019, methodology): “This empirical observation demonstrates that we can model the data distribution in the embedding using a multi-modal distribution such as a GMM [Heinen et al., 2012].”
• Learning Transferable Knowledge Through Embedding Spaces (2019, methodology): “empirical observation demonstrates that we can model the data distribution in the embedding using a multi-modal distribution such as a GMM [216].”