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ML Reasoning Reading list - 🟧Sourceful

A comprehensive list of academic papers about machine learning topics 🏫 - 🟧Sourceful

programming, machine learnining, ML, AI, artificial intelligence

1987 NeurIPS

Learning in Networks of Nondeterministic Adaptive Logic Elements Richard C. Windecker 1987 https://papers.nips.cc/paper/79-learning-in-networks-of-nondeterministic-adaptive-logic-elements.pdf

A 'Neural' Network that Learns to Play Backgammon Gerald Tesauro, Terrence J. Sejnowski 1987 https://papers.nips.cc/paper/30-a-neural-network-that-learns-to-play-backgammon.pdf

A Novel Net that Learns Sequential Decision Process Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen 1987 https://papers.nips.cc/paper/74-a-novel-net-that-learns-sequential-decision-process.pdf

Scaling Properties of Coarse-Coded Symbol Memories Ronald Rosenfeld, David S. Touretzky 1987 https://papers.nips.cc/paper/91-scaling-properties-of-coarse-coded-symbol-memories.pdf

How Neural Nets Work Alan S. Lapedes, Robert M. Farber 1987 https://papers.nips.cc/paper/59-how-neural-nets-work.pdf

Learning Representations by Recirculation Geoffrey E. Hinton, James L. McClelland 1987 https://papers.nips.cc/paper/78-learning-representations-by-recirculation.pdf

Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons Eberhard E. Fetz 1987 https://papers.nips.cc/paper/15-correlational-strength-and-computational-algebra-of-synaptic-connections-between-neurons.pdf

A Neural Network Classifier Based on Coding Theory Tzi-Dar Chiueh, Rodney Goodman 1987 https://papers.nips.cc/paper/48-a-neural-network-classifier-based-on-coding-theory.pdf

Mathematical Analysis of Learning Behavior of Neuronal Models John Y. Cheung, Massoud Omidvar 1987 https://papers.nips.cc/paper/55-mathematical-analysis-of-learning-behavior-of-neuronal-models.pdf

On the Power of Neural Networks for Solving Hard Problems Jehoshua Bruck, https://papers.nips.cc/author/joseph-w-goodman-107 1987 https://papers.nips.cc/paper/70-on-the-power-of-neural-networks-for-solving-hard-problems.pdf

Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems J. Bernasconi 1987 https://papers.nips.cc/paper/83-analysis-and-comparison-of-different-learning-algorithms-for-pattern-association-problems.pdf

Learning on a General Network Amir F. Atiya 1987 https://papers.nips.cc/paper/9-learning-on-a-general-network.pdf

Connectivity Versus Entropy Yaser S. Abu-Mostafa 1987 https://papers.nips.cc/paper/63-connectivity-versus-entropy.pdf

1988 NeurIPS

Constraints on Adaptive Networks for Modeling Human Generalization Mark A. Gluck, M. Pavel, Van Henkle 1988 https://papers.nips.cc/paper/106-constraints-on-adaptive-networks-for-modeling-human-generalization.pdf

Fast Learning in Multi-Resolution Hierarchies John Moody 1988 https://papers.nips.cc/paper/175-fast-learning-in-multi-resolution-hierarchies.pdf

Self Organizing Neural Networks for the Identification Problem Manoel Fernando Tenorio, Wei-Tsih Lee 1988 https://papers.nips.cc/paper/149-self-organizing-neural-networks-for-the-identification-problem.pdf

Learning by Choice of Internal Representations Tal Grossman, Ronny Meir, Eytan Domany 1988 https://papers.nips.cc/paper/118-learning-by-choice-of-internal-representations.pdf

Scaling and Generalization in Neural Networks: A Case Study Subutai Ahmad, Gerald Tesauro 1988 https://papers.nips.cc/paper/129-scaling-and-generalization-in-neural-networks-a-case-study.pdf

Does the Neuron "Learn" like the Synapse? Raoul Tawel 1988 https://papers.nips.cc/paper/184-does-the-neuron-learn-like-the-synapse.pdf

A Connectionist Expert System that Actually Works Richard Fozzard, Gary Bradshaw, Louis Ceci 1988 https://papers.nips.cc/paper/135-a-connectionist-expert-system-that-actually-works.pdf

An Information Theoretic Approach to Rule-Based Connectionist Expert System Rodney M. Goodman, John W. Miller, Padhraic Smyth 1988 https://papers.nips.cc/paper/150-an-information-theoretic-approach-to-rule-based-connectionist-expert-systems.pdf

Theory of Self-Organization of Cortical Maps Shigeru Tanaka 1988 https://papers.nips.cc/paper/132-theory-of-self-organization-of-cortical-maps.pdf

A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory Cortex Bill Baird 1988 https://papers.nips.cc/paper/145-a-bifurcation-theory-approach-to-the-programming-of-periodic-attractors-in-network-models-of-olfactory-cortex.pdf

Training a 3-Node Neural Network is NP-Complete Avrim Blum, Ronald L. Rivest 1988 https://papers.nips.cc/paper/125-training-a-3-node-neural-network-is-np-complete.pdf

Links Between Markov Models and Multilayer Perceptrons Hervé Bourlard, C. J. Wellekens 1988 https://papers.nips.cc/paper/163-links-between-markov-models-and-multilayer-perceptrons.pdf

A Massively Parallel Self-Tuning Context-Free Parser Eugene Santos Jr. 1988 https://papers.nips.cc/paper/165-a-massively-parallel-self-tuning-context-free-parser.pdf

Learning Sequential Structure in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans, James L. McClelland 1988 https://papers.nips.cc/paper/188-learning-sequential-structure-in-simple-recurrent-networks.pdf

A Self-Learning Neural Network Allan Hartstein, R. H. Koch 1988 https://papers.nips.cc/paper/189-a-self-learning-neural-network.pdf

Neural Architecture Valentino Braitenberg 1988 https://papers.nips.cc/paper/167-neural-architecture.pdf

1989 NeurIPS

Neural Networks: The Early Days Jack D. Cowan 1989 https://papers.nips.cc/paper/198-neural-networks-the-early-days.pdf

A Cost Function for Internal Representations Anders Krogh, C. I. Thorbergsson, John A. Hertz 1989 https://papers.nips.cc/paper/229-a-cost-function-for-internal-representations.pdf

Sequential Decision Problems and Neural Networks A. G. Barto, R. S. Sutton, C. J. C. H. Watkins 1989 https://papers.nips.cc/paper/194-sequential-decision-problems-and-neural-networks.pdf

Asymptotic Convergence of Backpropagation: Numerical Experiments Subutai Ahmad, Gerald Tesauro, Yu He 1989 https://papers.nips.cc/paper/238-asymptotic-convergence-of-backpropagation-numerical-experiments.pdf

A Method for the Associative Storage of Analog Vectors Amir F. Atiya, Yaser S. Abu-Mostafa 1989 https://papers.nips.cc/paper/206-a-method-for-the-associative-storage-of-analog-vectors.pdf

Generalization and Scaling in Reinforcement Learning David H. Ackley, Michael L. Littman 1989 https://papers.nips.cc/paper/208-generalization-and-scaling-in-reinforcement-learning.pdf

Meiosis Networks Stephen Jose Hanson 1989 https://papers.nips.cc/paper/227-meiosis-networks.pdf

Learning in Higher-Order "Artificial Dendritic Trees Tony Bell 1989 https://papers.nips.cc/paper/202-learning-in-higher-order-artificial-dendritic-trees.pdf

A Self-organizing Associative Memory System for Control Applications Michael Hormel 1989 https://papers.nips.cc/paper/251-a-self-organizing-associative-memory-system-for-control-applications.pdf

Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment William R. Softky, Daniel M. Kammen 1989 https://papers.nips.cc/paper/252-can-simple-cells-learn-curves-a-hebbian-model-in-a-structured-environment.pdf

Reading a Neural Code William Bialek, Fred Rieke, Robert R. de Ruyter van Steveninck, David Warland 1989 https://papers.nips.cc/paper/272-reading-a-neural-code.pdf

1990 NeurIPS

VLSI Implementations of Learning and Memory Systems: A Review Mark A. Holler 1990 https://papers.nips.cc/paper/334-vlsi-implementations-of-learning-and-memory-systems-a-review.pdf

Second Order Properties of Error Surfaces: Learning Time and Generalization Yann LeCun, Ido Kanter, Sara A. Solla 1990 https://papers.nips.cc/paper/314-second-order-properties-of-error-surfaces-learning-time-and-generalization.pdf

Learning Theory and Experiments with Competitive Networks Griff L. Bilbro, David E. van den Bout 1990 https://papers.nips.cc/paper/357-learning-theory-and-experiments-with-competitive-networks.pdf

Evolution and Learning in Neural Networks: The Number and Distribution of Learning Trials Affect the Rate of Evolution Ron Keesing, David G. Stork 1990 https://papers.nips.cc/paper/420-evolution-and-learning-in-neural-networks-the-number-and-distribution-of-learning-trials-affect-the-rate-of-evolution.pdf

A Framework for the Cooperation of Learning Algorithms Léon Bottou, Patrick Gallinari 1990 https://papers.nips.cc/paper/308-a-framework-for-the-cooperation-of-learning-algorithms.pdf

A competitive modular connectionist architecture Robert A. Jacobs, Michael I. Jordan 1990 https://papers.nips.cc/paper/430-a-competitive-modular-connectionist-architecture.pdf

Connectionist Implementation of a Theory of Generalization Roger N. Shepard, Sheila Kannappan 1990 https://papers.nips.cc/paper/351-connectionist-implementation-of-a-theory-of-generalization.pdf

A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis Yoichi Hayashi 1990 https://papers.nips.cc/paper/355-a-neural-expert-system-with-automated-extraction-of-fuzzy-if-then-rules-and-its-application-to-medical-diagnosis.pdf

Adaptive Range Coding Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal 1990 https://papers.nips.cc/paper/321-adaptive-range-coding.pdf

Signal Processing by Multiplexing and Demultiplexing in Neurons David C. Tam 1990 https://papers.nips.cc/paper/347-signal-processing-by-multiplexing-and-demultiplexing-in-neurons.pdf

Shaping the State Space Landscape in Recurrent Networks Patrice Simard, Jean Pierre Raysz, Bernard Victorri 1990 https://papers.nips.cc/paper/382-shaping-the-state-space-landscape-in-recurrent-networks.pdf

Associative Memory in a Network of `Biological' Neurons Wulfram Gerstner 1990 https://papers.nips.cc/paper/371-associative-memory-in-a-network-of-biological-neurons.pdf

Stochastic Neurodynamics J.D. Cowan 1990 https://papers.nips.cc/paper/424-stochastic-neurodynamics.pdf

Self-organization of Hebbian Synapses in Hippocampal Neurons Thomas H. Brown, Zacha

ML Reasoning Reading list
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Tags Programming, Machine learnining, ML, AI, Artificial intelligence
Type Google Sheet
Published 17/09/2020, 16:28:43

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