Ludwig Maximilian Lausser

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ludwig Maximilian Lausser trusts overall

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

  1. Kalyanmoy Deb
  2. Leo Breiman
  3. Yuhai Wu
  4. Hans-Paul Schwefel
  5. Hans-Georg Beyer
  6. Andy Liaw
  7. Gábor Csárdi
  8. Trevor J. Hastie
  9. Olivier Chapelle
  10. Thomas Bartz-Beielstein

Papers from Ludwig Maximilian Lausser's perspective

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

  1. Random Forests
  2. Neural Networks for Pattern Recognition
  3. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
  4. Multi-objective optimization using evolutionary algorithms
  5. A fast and elitist multiobjective genetic algorithm: NSGA-II
  6. LIBSVM: A library for support vector machines
  7. Statistical Learning Theory
  8. Choosing Multiple Parameters for Support Vector Machines
  9. Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease (IEEE Transactions on Biomedical Engineering)
  10. Classification and Regression by randomForest

Their papers