Jose Soria

2012

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 Jose Soria trusts

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

1. Paul J. Werbos (in Statistical Learning Theory)

Papers from Jose Soria's perspective

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

1. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
2. Ensembling neural networks: Many could be better than all
3. The Nature of Statistical Learning Theory
4. Backpropagation Through Time: What It Does and How to Do It
5. Universal approximation bounds for superpositions of a sigmoidal function
6. Neural Networks: A Comprehensive Foundation
7. Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence)
8. Learning internal representations by error propagation
9. Adaptive Mixtures of Local Experts
10. Hierarchical Mixtures of Experts and the EM Algorithm

Their papers

• A new approach for time series prediction using ensembles of ANFIS models (2012) — 172 citations