Joachim Diederich
Model Architectures · 1995–2008
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Model Architectures — 6 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Joachim Diederich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuhai Wu
- Robert Andrews
- Mark W. Craven
- Thorsten Joachims
- Jude W. Shavlik
- Jeffrey L. Elman
- Leslie G. Valiant
- Alan B. Tickle
Who trusts Joachim Diederich overall
- Nahla H. Barakat
- Andrew P. Bradley
- Emilio Carrizosa
- Haydemar Núñez
- Zhenyu Chen
- Giulia Vilone
- David Martens
- Farhad Shakerin
- Efstathios Stamatatos
- Cecilio Angulo
Papers from Joachim Diederich's perspective
Ordered by how strongly the researchers Joachim Diederich trusts endorse each paper. Same corpus, a different order for every researcher.
- A theory of the learnable
- Finding Structure in Time
- Introduction to Automata Theory, Languages and Computation
- Statistical Learning Theory
- Extraction of rules from discrete-time recurrent neural networks
- Using Sampling and Queries to Extract Rules from Trained Neural Networks
- ID2-of-3: Constructive Induction of M-of-N Concepts for Discriminators in Decision Trees
- Extracting comprehensible models from trained neural networks
- A Tutorial on Support Vector Machines for Pattern Recognition
- Infinite Mixtures of Gaussian Process Experts
Their papers
- Rule Extraction from Support Vector Machines (2008) — 222 citations
- Eclectic Rule-Extraction from Support Vector Machines (2005) — 157 citations
- Authorship Attribution with Support Vector Machines (2003) — 402 citations
- The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks (1998)
- Survey and critique of techniques for extracting rules from trained artificial neural networks (1995)