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First nearest neighbor classification on Frey and Slate's letter recognition problem

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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/bf00114162openalex-snapshot
Letter Recognition Using Holland-Style Adaptive Classifiers
inferredcites →https://doi.org/10.1007/bf00153759openalex-snapshot
Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1142/s0129053393000207openalex-snapshot
MASSIVELY PARALLEL AI

What points at this work

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

inferred← citeshttps://doi.org/10.1007/11550822_72openalex-snapshot
A Modular Single-Hidden-Layer Perceptron for Letter Recognition
inferred← citeshttps://doi.org/10.1007/11816515_140openalex-snapshot
Statistical Neural Network Based Classifiers for Letter Recognition
inferred← citeshttps://doi.org/10.1007/3-540-48219-9_44openalex-snapshot
Automatic Model Selection in a Hybrid Perceptron/Radial Network
inferred← citeshttps://doi.org/10.1007/3-540-61723-x_1004openalex-snapshot
Every niching method has its niche: Fitness sharing and implicit sharing compared
inferred← citeshttps://doi.org/10.1007/3-540-61723-x_1012openalex-snapshot
IOGA: An instance-oriented genetic algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-01513-7_40openalex-snapshot
An English Letter Recognition Algorithm Based Artificial Immune
inferred← citeshttps://doi.org/10.1016/b978-1-55860-247-2.50006-1openalex-snapshot
Generalizing from Case Studies: A Case Study
inferred← citeshttps://doi.org/10.1016/j.spl.2007.03.014openalex-snapshot
Squeezing the last drop: Cluster-based classification algorithm
inferred← citeshttps://doi.org/10.1016/s0167-8655(03)00117-xopenalex-snapshot
Nonparametric discriminant analysis and nearest neighbor classification
inferred← citeshttps://doi.org/10.1016/s1566-2535(02)00088-xopenalex-snapshot
Automatic model selection in a hybrid perceptron/radial network
inferred← citeshttps://doi.org/10.1109/cvpr.2001.990640openalex-snapshot
Using an ICA representation of high dimensional data for object recognition and classification
inferred← citeshttps://doi.org/10.1109/fuzzy.2005.1452466openalex-snapshot
Fuzzily Modular Multilayer Perceptron Classifiers for Large-Scale Learning Problems
inferred← citeshttps://doi.org/10.1109/fuzzy.2005.1452545openalex-snapshot
Fuzzily modular single-layer RBF neural networks for solving large-scale classification problems
inferred← citeshttps://doi.org/10.1109/icec.1995.487450openalex-snapshot
Evolving complex neural networks that age
inferred← citeshttps://doi.org/10.1109/ijcnn.2003.1223416openalex-snapshot
Modular adaptive RBF-type neural networks for letter recognition
inferred← citeshttps://doi.org/10.1109/ijcnn.2004.1381131openalex-snapshot
Adaptive task decomposition and modular multilayer perceptrons for letter recognition
inferred← citeshttps://doi.org/10.1109/ijcnn.2005.1555997openalex-snapshot
A single-layer radial basis function network classifier and its applications
inferred← citeshttps://doi.org/10.3390/sym14102197openalex-snapshot
Artificial Intelligence-Based Diabetes Diagnosis with Belief Functions Theory
inferred← citeshttps://doi.org/10.3390/sym16040459openalex-snapshot
Improvement of Smart Grid Stability Based on Artificial Intelligence with Fusion Methods
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