Jingshuang Liu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingshuang Liu trusts overall

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

  1. Tijmen Tieleman
  2. Geoffrey E. Hinton

Papers from Jingshuang Liu's perspective

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

  1. A Fast Learning Algorithm for Deep Belief Nets
  2. Training Products of Experts by Minimizing Contrastive Divergence
  3. Training restricted Boltzmann machines using approximations to the likelihood gradient
  4. Representation Learning: A Review and New Perspectives
  5. A Practical Guide to Training Restricted Boltzmann Machines
  6. Training restricted Boltzmann machines: An introduction
  7. Efficient Capital Markets: A Review of Theory and Empirical Work
  8. An Introduction to Restricted Boltzmann Machines (Iberoamerican Congress on Pattern Recognition)
  9. Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (Decision Support Systems)
  10. Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (Expert systems with applications)

Their papers