Mark Cecchini

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Cecchini trusts overall

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

  1. Yuhai Wu
  2. John Shawe-Taylor
  3. Jennifer Francis
  4. Nello Cristianini
  5. Ryan Lafond

Papers from Mark Cecchini's perspective

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

  1. Statistical Learning Theory
  2. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  3. Kernel Methods for Pattern Analysis
  4. The market pricing of accruals quality
  5. The Nature of Statistical Learning Theory
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. Advances in kernel methods: support vector learning
  8. Large Margin Rank Boundaries for Ordinal Regression
  9. Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
  10. Text Categorization with Support Vector Machines: Learning with Many Relevant Features

Their papers