Alex Ksikes

Statistical Learning Theory · 2004–2007

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 5 citations into it

Whom Alex Ksikes trusts overall

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

1. J. Platt

Who trusts Alex Ksikes overall

1. Matthias Feurer
2. Isabelle M Guyon

Papers from Alex Ksikes's perspective

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

1. Bagging Predictors
2. UCI Repository of machine learning databases
3. Wrappers for Feature Subset Selection
4. The Boosting Approach to Machine Learning An Overview
5. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
6. Tree Induction for Probability-Based Ranking
7. The Nature of Statistical Learning Theory
8. Statistical Learning Theory
9. ImageNet classification with deep convolutional neural networks
10. Statistical learning theory

Their papers

• Ensemble selection from libraries of models (2004) — 1,036 citations
• One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties (2007) — 63 citations