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Overfitting Avoidance as Bias
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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On estimating probabilities in tree pruning
inferredcites →https://doi.org/10.1007/bfb0017014openalex-snapshot
When does overfitting decrease prediction accuracy in induced decision trees and rule sets?
inferredcites →https://doi.org/10.1016/0890-5401(89)90010-2openalex-snapshot
Inferring decision trees using the minimum description lenght principle
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50033-3openalex-snapshot
LEARNING CLASSIFICATION RULES USING BAYES
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Deconstructing the Digit Recognition Problem
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1023/a:1022604100933openalex-snapshot
An Empirical Comparison of Pruning Methods for Decision Tree Induction
inferredcites →https://doi.org/10.1057/jors.1987.5openalex-snapshot
Expert Systems-Rule Induction with Statistical Data
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Practical Nonparametric Statistics
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ON THE CONNECTION BETWEEN THE COMPLEXITY AND CREDIBILITY OF INFERRED MODELS
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Minimum complexity density estimation
inferredcites →https://doi.org/10.1145/152941.152943openalex-snapshot
Induction with randomization testing (dissertation)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Sampling Methods in Cybernetical Intelligence
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Data mining using genetic programming: the implications of parsimony on generalization error
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The Effects of Different Parameters on the Accuracy of Deep Learning Models for Predicting U.S. Citizen’s Life Expectancy
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DeepRisk: A Deep Transfer Learning Approach to Migratable Traffic Risk Estimation in Intelligent Transportation Using Social Sensing
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Robust Models in Information Retrieval
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Orchid: Building Dynamic Test Oracles with Training Bias for Improving Deep Neural Network Models
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A New Approach for Handling Classification Problems Based on Fuzzy Information Gain Measures
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Image classification optimization and results analysis based on VGG network
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Using genetic programming for the induction of oblique decision trees
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On the Performance and Robustness of Linear Model U-Trees in Mimic Learning
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BEXA: set covering vs. neural network knowledge acquisition-a comparative review
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Feature Extraction Methods and Classification for Malware Incident News
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Evaluating the effects of distance metrics on a NGE-based system
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Evolutionary synthesis of nand logic: Dissecting a digital organism
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Bernoulli's principle of insufficient reason and conservation of information in computer search
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Contextual Decision Making in General Game Playing
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Improving neural network generalisation
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Bias and the probability of generalization
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The little neuron that could
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Cross validation and MLP architecture selection
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Model-based fault detection in multi-sensor measurement systems
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Overfitting-based Bias-generating Neural-network : Simulation of Pavlov’s Dog
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An Intelligent Intrusion Detection and Response System Using Hybrid Ward Hierarchical Clustering Analysis
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GA Tree: genetically evolved decision trees
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Data mining with an ant colony optimization algorithm
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Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext Tasks
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The nearest subclass classifier: a compromise between the nearest mean and nearest neighbor classifier
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NONLINEAR EFFECTS OF FEMALE MATE CHOICE IN WILD THREESPINE STICKLEBACKS
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LEARNING OF RESOURCE ALLOCATION STRATEGIES FOR GAME PLAYING
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Semi-Supervised Learning
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Towards Competitive Instead of Biased Testing of Heuristics: A Reply to Hilbig and Richter (2011)
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Methods for automatically analyzing humpback song units
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Use of Attribute Selection Criteria in Decision Trees in Uncertain Domains
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A QUASILINEAR CLASSIFIER FOR COMPLETE SEPARATION OF A DICHOTOMY
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Performance testing of automated modeling for industrial applications
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Sonar Inspired Optimization based Feature Selection
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A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing
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Understanding the crucial differences between classification and discovery of association rules
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