Dirk-Emma Baestaens

IEEE Trans. Neural Networks · 2001

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Dirk-Emma Baestaens trusts overall

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

1. David John Cameron MacKay
2. Yuhai Wu
3. Dustin Boswell

Who trusts Dirk-Emma Baestaens overall

1. Xiaodong Li
2. Tony Van Gestel

Papers from Dirk-Emma Baestaens's perspective

Ordered by how strongly the researchers Dirk-Emma Baestaens trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical Learning Theory
2. Introduction to Support Vector Machines
3. Bayesian Interpolation
4. Ridge Regression Learning Algorithm in Dual Variables
5. Regularization Networks and Support Vector Machines
6. An Equivalence Between Sparse Approximation and Support Vector Machines
7. Nonlinear Component Analysis as a Kernel Eigenvalue Problem
8. Recurrent least squares support vector machines
9. Optimal control by least squares support vector machines (Neural Networks)
10. The Nature of Statistical Learning Theory

Their papers

• Financial time series prediction using least squares support vector machines within the evidence framework (2001) — 536 citations