Lingbin Meng
JOM · 2020
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Lingbin Meng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lingbin Meng's perspective
Ordered by how strongly the researchers Lingbin Meng trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- AND T
- and s
- Statistics for High-Dimensional Data: Methods, Theory and Applications, Peter Buhlman and Sara van de Geer著, Springer, 2011年6月, 558pp., 価格 114,99〓, ISBN 978-3642201912
- The Bayesian backfitting relevance vector machine
- “Additive Manufacturing Technologies: 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing”, 2nd Edition
- Learn
- Introduction to machine learning
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
Their papers
- Machine Learning in Additive Manufacturing: A Review (2020) — 383 citations