José Ramon Méndez

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom José Ramon Méndez trusts overall

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

1. Ralf Klinkenberg
2. Vladimir Naumovich Vapni
3. Jerome H. Friedman
4. Ron Kohavi
5. Ludmila I. Kuncheva

Papers from José Ramon Méndez's perspective

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

1. The Nature of Statistical Learning Theory
2. Instance-based learning algorithms
3. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
4. Special Invited Paper-Additive logistic regression: A statistical view of boosting
5. Incremental learning from noisy data
6. Learning in the Presence of Concept Drift and Hidden Contexts
7. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
8. Detecting Concept Drift with Support Vector Machines (International Conference on Machine Learning)
9. Machine learning in automated text categorization
10. The problem of concept drift: definitions and related work

Their papers

• Applying lazy learning algorithms to tackle concept drift in spam filtering (2007) — 121 citations