Incremental Learning

By Paul E. Utgoff. 2017

108 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

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. Miriam A. M. Capretz
2. Yusuf Yaslan
3. Zehra Cataltepe
4. Hakan Gunduz

In Information Systems

1. Alexandra L’Heureux
2. Miriam A. M. Capretz
3. Katarina Grolinger
4. Hany F. ElYamany

Citations in the corpus

• Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations (2017, background): “On the contrary, Markov Models (MM) and Hidden Markov Models (HMMs) are two models that can be used to model non-stationary time series in model-based approach [14, 15].”
• Machine Learning With Big Data: Challenges and Approaches (2017, background): “Therefore, to adapt to new information, algorithms must support incremental learning [50], sometimes referred to as sequential learning, which is defined as an algorithm’s ability to adapt its learning based on the arrival of new data without the need to retrain on the complete dataset.”