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Linear function neurons: Structure and training

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What this work says

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

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Parallel models of associative memory

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Neurobiology of the hippocampus

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CELLULAR NEUROPHYSIOLOGICAL STUDIES OF LEARNING

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The Physiological Basis of Memory

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THE SNePS SEMANTIC NETWORK PROCESSING SYSTEM

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Models of Concepts*

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Linear separability in classification learning.

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Features of similarity.

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Is there a cell-biological alphabet for simple forms of learning?

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Pavlovian conditioning and its proper control procedures.

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Knowing and using concepts.

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Concept identification of auditory stimuli as a function of amount of relevant and irrelevant information.

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Mathematical theory of concept identification.

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Hierarchies in concept attainment.

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Small Systems of Neurons

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Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology?

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Associative long-term potentiation in hippocampal slices.

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Single stage threshold logic

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Lower Bounds of the Number of Threshold Functions and a Maximum Weight

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On Complete Sets of Logic Primitives

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Reduction of the Number of Columns in Flow Table Minimization

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Lower Bound of the Number of Threshold Functions

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The brains of men and machines

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Punish/Reward: Learning with a Critic in Adaptive Threshold Systems

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Molecular Biology of Learning: Modulation of Transmitter Release

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Differential Classical Conditioning of a Defensive Withdrawal Reflex in Aplysia californica

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Sensory Processing in the Brain

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Categorization of Natural Objects

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Concepts and Concept Formation

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Cellular Basis of Behavior

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CONTINGENCY SPACES AND MEASURES IN CLASSICAL AND INSTRUMENTAL CONDITIONING1

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ADAPTIVE SWITCHING CIRCUITS

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Experiments in Induction

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Cognition and Categorization

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Adaptive Behavior and Learning

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Conditioning and Associative Learning

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Contemporary Animal Learning Theory

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Autoshaping and Conditioning Theory

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Pattern Classification and Scene Analysis

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The Relaxation Method for Linear Inequalities

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Categories and Concepts

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Principles of Categorization

What points at this work

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

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The application of decision tree to intensity change classification of tropical cyclones in western North Pacific

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Polynomial-Fuzzy Decision Tree Structures for Classifying Medical Data

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Bounds on the Complexity of Testing and Loading Neurons

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Feature Handling in Learning Algorithms

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Bibliography

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Probably Approximately Correct Learning

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Multi-objective Genetic Programming Optimization of Decision Trees for Classifying Medical Data

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Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm

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Disjunctive models of Boolean category learning

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Learning and using specific instances

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Connectionistic models of boolean category representation

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Multivariate Decision Trees

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Improved Approximation of Linear Threshold Functions

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A parallel network that learns to play backgammon

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On specifying Boolean functions by labelled examples

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Increased rates of convergence through learning rate adaptation

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Mapping hierarchical neural networks to VLSI hardware

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BIBLIOGRAPHY OF RECENT MACHINE LEARNING RESEARCH 1985–1989

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Generalization Performance of Feed-Forward Neural Networks

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An Incremental Method for Finding Multivariate Splits for Decision Trees

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ID2-of-3: Constructive Induction of M-of-N Concepts for Discriminators in Decision Trees

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Pattern Recognition and Neural Networks

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Using the Perceptron Algorithm to Find Consistent Hypotheses

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Constructing X-of-N Attributes for Decision Tree Learning

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Improved Approximation of Linear Threshold Functions

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