Markus Müller

Statistics and Probability · with Aebersold · 2007–2011

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Müller trusts

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

  1. Tom Fawcett (in Artificial Intelligence)

Who trusts Markus Müller

  1. F. Nahm (in Artificial Intelligence)
  2. Ilker Ünal (in Artificial Intelligence)
  3. Jalal Al-Tamimi (in Artificial Intelligence)
  4. Michael C. Sachs (in Artificial Intelligence)

Papers from Markus Müller's perspective

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

  1. An introduction to ROC analysis
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. ROCR: visualizing classifier performance in R (Bioinform.)
  4. ROC analysis: applications to the classification of biological sequences and 3D structures (Briefings Bioinform.)
  5. Estimation and Comparison of Receiver Operating Characteristic Curves (The Stata Journal)
  6. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  7. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  8. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  10. The CN2 Induction Algorithm

Their papers