Malinda G. Taylor

International journal of biometeorology · 2001

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Malinda G. Taylor trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yuhai Wu (in Artificial Intelligence)

Papers from Malinda G. Taylor's perspective

Ordered by how strongly the researchers Malinda G. Taylor trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical Learning Theory
2. Acclimation of ecosystem CO2 exchange in the Alaskan Arctic in response to decadal climate warming (Nature)
3. Support Vector Regression Machines
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Subset Selection in Regression
7. Gradient learning in spiking neural networks by dynamic perturbation of conductances.
8. Towards Biologically Plausible Deep Learning
9. A neuronal learning rule for sub-millisecond temporal coding
10. Deep Learning

Their papers

• Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999 (2001) — 773 citations