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Learning internal representations by error propagation
(1986)
by D E Rumelhart, G E Hinton, R J Williams
Parallel distributed processing, Explorations in the microstructure of cognition
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Support-Vector Networks
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Learning to predict by the methods of temporal differences
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Solving multiclass learning problems via error-correcting output codes
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A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
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Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods
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Practical Issues in Temporal Difference Learning
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Gradient-based learning applied to document recognition
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Selection of relevant features and examples in machine learning
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ANFIS: Adaptive-Network-Based Fuzzy Inference System
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Syskill & Webert: Identifying interesting web sites
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