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Combining Symbolic and Neural Learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4615-3202-6_5openalex-snapshot

Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding

inferredcites →https://doi.org/10.1007/978-1-4615-4008-3openalex-snapshot

Connectionist Approaches to Language Learning

inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot

Induction of Decision Trees

inferredcites →https://doi.org/10.1007/bf00117105openalex-snapshot

Learning Logical Definitions from Relations

inferredcites →https://doi.org/10.1007/bf00993077openalex-snapshot

Using knowledge-based neural networks to improve algorithms: Refining the Chou-Fasman algorithm for protein folding

inferredcites →https://doi.org/10.1007/bf00993103openalex-snapshot

Extracting Refined Rules from Knowledge-Based Neural Networks

inferredcites →https://doi.org/10.1007/bf03037089openalex-snapshot

Inductive logic programming

inferredcites →https://doi.org/10.1016/0004-3702(89)90049-0openalex-snapshot

Connectionist learning procedures

inferredcites →https://doi.org/10.1016/0004-3702(90)90002-hopenalex-snapshot

Preface to the special issue on connectionist symbol processing

inferredcites →https://doi.org/10.1016/0004-3702(90)90005-kopenalex-snapshot

Recursive distributed representations

inferredcites →https://doi.org/10.1016/0364-0213(90)90002-eopenalex-snapshot

Finding structure in time

inferredcites →https://doi.org/10.1016/0364-0213(92)90036-topenalex-snapshot

Forward models: Supervised learning with a distal teacher

inferredcites →https://doi.org/10.1016/0885-064x(90)90006-yopenalex-snapshot

Learning from hints in neural networks

inferredcites →https://doi.org/10.1016/0952-1976(91)90042-5openalex-snapshot

Combining artificial neural networks and symbolic processing for autonomous robot guidance

inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50007-9openalex-snapshot

A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping

inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50097-0openalex-snapshot

Refinement of Approximate Reasoning-based Controllers by Reinforcement Learning

inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50051-6openalex-snapshot

Training Second-Order Recurrent Neural Networks using Hints

inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50016-2openalex-snapshot

Learning Symbolic Rules Using Artificial Neural Networks

inferredcites →https://doi.org/10.1073/pnas.88.24.11261openalex-snapshot

Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach.

inferredcites →https://doi.org/10.1080/09540098908915639openalex-snapshot

Editorial: On The Need for Hybrid Systems

inferredcites →https://doi.org/10.1080/09540098908915640openalex-snapshot

An Approach to Combining Explanation-based and Neural Learning Algorithms

inferredcites →https://doi.org/10.1080/09540098908915644openalex-snapshot

Integration of Neural Heuristics into Knowledge-based Inference

inferredcites →https://doi.org/10.1080/09540098908915648openalex-snapshot

Perceptron Trees: A Case Study in Hybrid Concept Representations

inferredcites →https://doi.org/10.1109/icnn.1988.23855openalex-snapshot

Medical diagnostic expert system based on PDP model

inferredcites →https://doi.org/10.1109/ijcnn.1989.118425openalex-snapshot

Integration of neural heuristics into knowledge-based inference

inferredcites →https://doi.org/10.1109/ijcnn.1991.155283openalex-snapshot

An unified approach for integrating explicit knowledge and learning by example in recurrent networks

inferredcites →https://doi.org/10.1145/42372.42377openalex-snapshot

Connectionist expert systems

inferredcites →https://doi.org/10.1162/neco.1989.1.1.1openalex-snapshot

Review of Neural Networks for Speech Recognition

inferredcites →https://doi.org/10.1162/neco.1989.1.3.372openalex-snapshot

Finite State Automata and Simple Recurrent Networks

inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot

Backpropagation Applied to Handwritten Zip Code Recognition

inferredcites →https://doi.org/10.1162/neco.1991.3.1.79openalex-snapshot

Adaptive Mixtures of Local Experts

inferredcites →https://doi.org/10.1162/neco.1992.4.1.1openalex-snapshot

Neural Networks and the Bias/Variance Dilemma

inferredcites →https://doi.org/10.1162/neco.1992.4.3.393openalex-snapshot

Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks

inferredcites →https://doi.org/10.1162/neco.1992.4.4.473openalex-snapshot

Simplifying Neural Networks by Soft Weight-Sharing

inferredcites →https://doi.org/10.1162/neco.1992.4.5.746openalex-snapshot

Refining PID Controllers Using Neural Networks

inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot

Finding Structure in Time

inferredcites →https://doi.org/10.1207/s15516709cog1603_1openalex-snapshot

Forward Models: Supervised Learning with a Distal Teacher

inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot

Learning Internal Representations by Error Propagation

inferredcites →https://doi.org/10.21236/ada218903openalex-snapshot

Using Rules and Task Division to Augment Connectionist Learning

inferredcites →https://doi.org/10.7551/mitpress/2102.003.0004openalex-snapshot

Recursive Distributed Representations

inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot

Parallel Distributed Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Knowledge‐Based Computation

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Symbol Grounding Through Cumulative Learning

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Learning Logic Programs with Neural Networks

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A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data

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Some Recent Developments of Using Logical Analysis for Inferring a Boolean Function with Few Clauses

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The Emergence of Neuro-Symbolic Artificial Intelligence

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Representation of Finite State Automata in Recurrent Radial Basis Function Networks

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Design optimization by integrating limited simulation data and shape engineering knowledge with Bayesian optimization (BO-DK4DO)

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Computational Approaches to Concepts Representation: A Whirlwind Tour

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Interactive learning of monotone Boolean functions

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Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach

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Knowledge Representation by Means of Multilayer Perceptrons

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Deep learning in neural networks: An overview

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A Greedy Randomized Adaptive Search Procedure (GRASP) for inferring logical clauses from examples in polynomial time and some extensions

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Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues

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Pruning recurrent neural networks for improved generalization performance

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Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution

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Fast training of recurrent networks based on the EM algorithm

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Extracting rules from trained neural networks

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Extracting comprehensible rules from neural networks via genetic algorithms

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A HYBrid symbolic-connectionist processor of natural language semantic relations

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The truth is in there: current issues in extracting rules from trained feedforward artificial neural networks

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BEXA: set covering vs. neural network knowledge acquisition-a comparative review

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Knowledge acquisition from networks of abstract bio-neurons

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A knowledge-based system for multiple pattern recognition paradigms support

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Knowledge extraction from neural networks

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Generating new patterns for information gain and improved neural network learning

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Knowledge-based cascade-correlation

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Finding relevant knowledge: KBCC applied to DNA splice-junction determination

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Integration of hierarchical censored production rule (HCPR)-based system and neural networks

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