Jie Yan

Applied Energy · with Infield · 2019

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 Jie Yan trusts overall

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

1. Radford M. Neal

Papers from Jie Yan's perspective

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

1. Pattern Recognition and Machine Learning
2. Learning and relearning in Boltzmann machines
3. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
4. Adaptive Mixtures of Local Experts
5. A Practical Bayesian Framework for Backprop Networks
6. The EM algorithm and extensions
7. Self-organizing neural network that discovers surfaces in random-dot stereograms
8. Annealed importance sampling
9. Pattern-recognizing stochastic learning automata
10. Estimating the Dimension of a Model

Their papers

• Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model (2019) — 356 citations