B. Marx

2009

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

Papers from B. Marx's perspective

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

1. Neural networks and physical systems with emergent collective computational abilities.
2. Learning internal representations by error propagation
3. Multilayer feedforward networks are universal approximators
4. Outliers in process modeling and identification (IEEE Transactions on Control Systems Technology)
5. The Combination of Forecasts
6. Learning and relearning in Boltzmann machines
7. Neurons with graded response have collective computational properties like those of two-state neurons.
8. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
9. A Fast Learning Algorithm for Deep Belief Nets
10. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition

Their papers

• Mathematical Models for Natural Gas Forecasting (2009) — 52 citations