Searching for authors named "Joachim Diederich" – sorted by Relevance.
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A Knowledge Representation Formalism Generated From Feedforward Neural Network
- and Joachim Diederich Machine Learning Research Centre Queensland University of Technology Brisbane Qld 4001
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Sparsely-Connected Recurrent Neural Networks for Natural Language Learning
- Towsey, Joachim Diederich PO Box 2434 Machine Learning Research Centre Queensland University
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Knowledge Extraction and Recurrent Neural Networks: An Analysis of an Elman Network trained on a Natural Language Learning Task
- of an Elman Network trained on a Natural Language Learning Task Ingo Schellhammer*#, Joachim Diederich
- Cited by 2 (0 self) – Add To MetaCart
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Rule Extraction from Artificial Neural Networks Trained on Elementary Number Classification Tasks
- Stephan Chalup, Ross Hayward, Joachim Diederich Neurocomputing Research Centre, Queensland University
- Cited by 2 (1 self) – Add To MetaCart
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Connectionist Knowledge Representation By Generic Rules Extraction from Trained Feedforward Neural Networks
- Networks Richi Nayak, Ross Hayward and Joachim Diederich Neurocomputing Research Centre Queensland
- Cited by 1 (1 self) – Add To MetaCart
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Inductive Knowledge Acquisition Using Feedforward Neural Networks With Rule-Extraction
- Joachim Diederich Frederic Maire Machine Learning Research Centre Queensland University of Technology
- Cited by 1 (0 self) – Add To MetaCart
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Random Neural Networks of Biologically Plausible Connectivity
- Random Neural Networks of Biologically Plausible Connectivity James M. Hogan Joachim Diederich
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Natural Language Learning by Recurrent Neural Networks: A Comparison with Probabilistic Approaches
- with probabilistic approaches Michael Towsey*, Joachim Diederich*, lngo Schellhammer*#, Stephan Chalup*, Claudia
- Cited by 2 (2 self) – Add To MetaCart
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Computers that learn vs. Users that learn: Experiments with adaptive e-mail agents
- : wolke@(email omitted); (Andreas Stolcke) Message-Id: To: Joachim Diederich Subject: Re: Cog
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Feasibility of Incremental Learning in Biologically Plausible Networks
- Feasibility of Incremental Learning in Biologically Plausible Networks James M. Hogan Joachim
- Cited by 1 (1 self) – Add To MetaCart

