scientific article; zbMATH DE number 1843025

zbMath1001.68724MaRDI QIDQ4783863

Peter R. Conwell, A. Steven Younger, Sepp Hochreiter

Publication date: 9 December 2002

Full work available at URL: http://link.springer.de/link/service/series/0558/bibs/2130/21300087

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Computing methodologies and applications (68U99)

Related Items (12)

Learning with Limited Samples: Meta-Learning and Applications to Communication Systems ⋮ Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks ⋮ An overview of stochastic quasi-Newton methods for large-scale machine learning ⋮ A metalearning approach for physics-informed neural networks (PINNs): application to parameterized PDEs ⋮ MGIC: Multigrid-in-Channels Neural Network Architectures ⋮ Automated Deep Learning: Neural Architecture Search Is Not the End ⋮ Tutorial on Amortized Optimization ⋮ Are LSTMs good few-shot learners? ⋮ Unnamed Item ⋮ Temporal-kernel recurrent neural networks ⋮ Divide-and-conquer checkpointing for arbitrary programs with no user annotation ⋮ Machine learning for combinatorial optimization: a methodological tour d'horizon

This page was built for publication: