ebastian

2013

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 ebastian trusts overall

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

1. C. Burges

Papers from ebastian's perspective

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

1. A Tutorial on Support Vector Machines for Pattern Recognition
2. Statistical Analysis and Modelling of Spatial Point Patterns
3. Statistical Analysis of Microstructures in Materials Science
4. TNM Classification of Malignant Tumours, 7th Edition
5. Statistical learning theory
6. Estimation of Dependences Based on Empirical Data
7. Comparison of classifier methods: a case study in handwritten digit recognition
8. Simplified Support Vector Decision Rules
9. Greedy function approximation: A gradient boosting machine.
10. The Nature of Statistical Learning Theory

Their papers

• MULTICLASS PATTERN RECOGNITION OF THE GLEASON SCORE OF PROSTATIC CARCINOMAS USING METHODS OF SPATIAL STATISTICS (2013)