Kyrre Eeg Emblem

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kyrre Eeg Emblem trusts overall

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

  1. Chih-Jen Lin
  2. Foster J. Provost
  3. Bernhard E. Boser
  4. Lothar Rudi Schad
  5. Rehan Akbani
  6. Isabelle M Guyon
  7. Evangelia I. Zacharaki
  8. Vladimir Naumovich Vapnik

Who trusts Kyrre Eeg Emblem overall

  1. Jakob Nikolas Kather

Papers from Kyrre Eeg Emblem's perspective

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

  1. A training algorithm for optimal margin classifiers
  2. LIBSVM: A library for support vector machines
  3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  4. New Support Vector Algorithms
  5. Applying Support Vector Machines to Imbalanced Datasets (European Conference on Machine Learning)
  6. A Study on Sigmoid Kernels for SVM and the Training of non-PSD Kernels by SMO-type Methods
  7. Support Vector Machines and Kernels for Computational Biology (PLoS Comput. Biol.)
  8. Support vector machines for histogram-based image classification
  9. The Nature of Statistical Learning Theory
  10. Gradient-based learning applied to document recognition

Their papers