Lukas Lukas

Artificial Intelligence · 2000–2002

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Control and Systems Engineering — 5 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Lukas Lukas trusts overall

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

1. Johan A. K. Suykens
2. Babak Hassibi
3. Federico Girosi
4. Craig John Saunders
5. Vladimir Naumovich Vapni

Who trusts Lukas Lukas overall

1. Haifeng Wang
2. Qinghua Hu

Papers from Lukas Lukas's perspective

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

1. The Nature of Statistical Learning Theory
2. Atomic Decomposition by Basis Pursuit
3. Neural Networks for Pattern Recognition
4. Introduction to Support Vector Machines
5. Multilayer feedforward networks are universal approximators
6. Second Order Derivatives for Network Pruning: Optimal Brain Surgeon
7. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
8. Recurrent least squares support vector machines
9. Robust statistics: the approach based on influence functions
10. Optimal control by least squares support vector machines (Neural Networks)

Their papers

• Weighted least squares support vector machines: robustness and sparse approximation (2002) — 1,289 citations
• Sparse approximation using least squares support vector machines (2000) — 336 citations