Muller Klaus-Robert

Artificial Intelligence · 2005

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #12,495 of 35,345 by trust here, #17,412 by citations
• Statistical Learning Theory — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Muller Klaus-Robert trusts overall

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

1. Hirotugu Akaike
2. Bernard Walter Silverman
3. M. Stone
4. Lotfi A. Zadeh
5. Robert A. Lordo
6. Robert Tibshirani
7. David John Cameron MacKay
8. Yuhai Wu
9. David Ruppert

Who trusts Muller Klaus-Robert overall

1. Amos J. Storkey
2. Masashi Sugiyama
3. Abolfazl Farahani
4. Matthias Krauledat

Papers from Muller Klaus-Robert's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Atomic Decomposition by Basis Pursuit
3. Learning with Kernels: support vector machines, regularization, optimization, and beyond
4. Statistical Learning Theory
5. A new look at the statistical model identification
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
7. Exploiting Generative Models in Discriminative Classifiers
8. Information-Based Objective Functions for Active Data Selection
9. Toward a perception-based theory of probabilistic reasoning with imprecise probabilities
10. Active Learning with Statistical Models

Their papers

• Input-dependent estimation of generalization error under covariate shift (2005) — 158 citations