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Explorations of an Incremental, Bayesian Algorithm for Categorization

https://doi.org/10.1007/bf00994109
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What this work says

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

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Simplifying decision trees
inferredcites →https://doi.org/10.1007/978-1-4757-4286-2openalex-snapshot
Statistical Decision Theory and Bayesian Analysis
inferredcites →https://doi.org/10.1007/bf00114264openalex-snapshot
Experiments with Incremental Concept Formation: UNIMEM
inferredcites →https://doi.org/10.1007/bf00114265openalex-snapshot
Knowledge Acquisition Via Incremental Conceptual Clustering
inferredcites →https://doi.org/10.1007/bf00114779openalex-snapshot
A Nearest Hyperrectangle Learning Method
inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1007/bf00116835openalex-snapshot
The CN2 Induction Algorithm
inferredcites →https://doi.org/10.1007/bf00153759openalex-snapshot
Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1016/0010-0285(75)90024-9openalex-snapshot
Family resemblances: Studies in the internal structure of categories
inferredcites →https://doi.org/10.1016/0010-0285(76)90013-xopenalex-snapshot
Basic objects in natural categories
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50011-6openalex-snapshot
AutoClass: A Bayesian Classification System
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50018-9openalex-snapshot
Using Weighted Networks to Represent Classification Knowledge in Noisy Domains
inferredcites →https://doi.org/10.1016/b978-1-4832-0773-5.50008-0openalex-snapshot
An Incremental Bayesian Algorithm for Categorization
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1037//0033-295x.85.3.207openalex-snapshot
Context theory of classification learning.
inferredcites →https://doi.org/10.1037//0033-295x.98.3.409openalex-snapshot
The adaptive nature of human categorization.
inferredcites →https://doi.org/10.1037//0278-7393.14.1.54openalex-snapshot
Similarity, frequency, and category representations.
inferredcites →https://doi.org/10.1037//0278-7393.8.1.37openalex-snapshot
Correlated symptoms and simulated medical classification.
inferredcites →https://doi.org/10.1037/e666602011-017openalex-snapshot
Basic Objects in Natural Categories
inferredcites →https://doi.org/10.1080/00401706.1970.10488715openalex-snapshot
Optimal Statistical Decisions
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Bayesian Inference in Statistical Analysis
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C.R.C. Standard Mathematical Tables
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.2307/1423253openalex-snapshot
The Adaptive Character of Thought
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Optimal Statistical Decisions.
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Bayesian Inference in Statistical Analysis.
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Classification and Regression Trees.
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Optimal Statistical Decisions.
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Classification and Regression Trees.
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Principles of Combinatorics.

What points at this work

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

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Applying Bayesian Networks for Meteorological Data Mining
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Robust Incremental Clustering with Bad Instance Orderings: A New Strategy
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A context similarity measure
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DP1: Supervised and unsupervised clustering
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The role of prototypicality in exemplar-based learning
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Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks
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Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes
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Scatter Search for the Feature Selection Problem
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Lazy Acquisition of Place Knowledge
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A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval
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Acquiring and Combining Overlapping Concepts
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A buffering strategy to avoid ordering effects in clustering
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Occam and Bayes in predicting category intuitiveness
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On fusing the latent deep CNN feature for image classification
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Practical algorithms for self scaling histograms or better than average data collection
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Rational Theory of Cognition in Psychology
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GALOIS : An order-theoretic approach to conceptual clustering
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Induction of Selective Bayesian Classifiers
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Solving feature subset selection problem by a Parallel Scatter Search
inferred← citeshttps://doi.org/10.1016/j.patrec.2008.11.012openalex-snapshot
Different metaheuristic strategies to solve the feature selection problem
inferred← citeshttps://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferred← citeshttps://doi.org/10.1017/s0140525x00070801openalex-snapshot
Is human cognition adaptive?
inferred← citeshttps://doi.org/10.1017/s0140525x00070813openalex-snapshot
Human cognition is an adaptive process
inferred← citeshttps://doi.org/10.1017/s0140525x00070825openalex-snapshot
Some thinking is irrational
inferred← citeshttps://doi.org/10.1017/s0140525x00070837openalex-snapshot
The nonoptimality of Anderson's memory fits
inferred← citeshttps://doi.org/10.1017/s0140525x00070849openalex-snapshot
If human cognition is adaptive, can human knowledge consist of encodings?
inferred← citeshttps://doi.org/10.1017/s0140525x00070850openalex-snapshot
Mechanistic and rationalistic explanations are complementary
inferred← citeshttps://doi.org/10.1017/s0140525x00070862openalex-snapshot
Normative theories of categorization
inferred← citeshttps://doi.org/10.1017/s0140525x00070874openalex-snapshot
Rational analysis: Too rational for comfort?
inferred← citeshttps://doi.org/10.1017/s0140525x00070886openalex-snapshot
Adaptivity and rational analysis
inferred← citeshttps://doi.org/10.1017/s0140525x00070898openalex-snapshot
Adaptive cognition: The question is how
inferred← citeshttps://doi.org/10.1017/s0140525x00070904openalex-snapshot
Rational analysis and illogical inference
inferred← citeshttps://doi.org/10.1017/s0140525x00070916openalex-snapshot
Beyond Helmholtz, or why not include inner determinants from the beginning?
inferred← citeshttps://doi.org/10.1017/s0140525x00070928openalex-snapshot
Does the environment have the same structure as Bayes' theorem?
inferred← citeshttps://doi.org/10.1017/s0140525x0007093xopenalex-snapshot
Optimality and psychological explanation
inferred← citeshttps://doi.org/10.1017/s0140525x00070941openalex-snapshot
Bayes in the context of suboptimality
inferred← citeshttps://doi.org/10.1017/s0140525x00070953openalex-snapshot
Rational analysis and the Lens model
inferred← citeshttps://doi.org/10.1017/s0140525x00070965openalex-snapshot
Probing the “Achilles' heel” of rational analysis
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Adaptive rationality and identifiability of psychological processes
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The cognitive laboratory, the library and the Skinner box
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Rational analysis will not throw off the yoke of the precision-importance trade-off function
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On the nonapplicability of a rational analysis to human cognition
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The rationality of causal inference
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But how does the brain think? (or wasn't that the question?)
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A Bayesian theory of thought
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Rationality and irrationality: Still fighting words
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Computational resources do constrain behavior
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Human and nonhuman systems are adaptive in a different sense
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More on rational analysis
inferred← citeshttps://doi.org/10.1023/a:1006545731094openalex-snapshot
Lazy Acquisition of Place Knowledge
inferred← citeshttps://doi.org/10.1023/a:1007467927290openalex-snapshot
Learning with Probabilistic Representations
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A Bayesian model for implicit effects in perceptual identification.
inferred← citeshttps://doi.org/10.1037//0278-7393.22.2.259openalex-snapshot
Categorization and sensitivity to correlation.
inferred← citeshttps://doi.org/10.1037//0278-7393.28.5.908openalex-snapshot
Adaptive categorization in unsupervised learning.
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ACT: A simple theory of complex cognition.
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Better learning with more error: Probabilistic feedback increases sensitivity to correlated cues in categorization.
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Predicting category intuitiveness with the rational model, the simplicity model, and the generalized context model.
inferred← citeshttps://doi.org/10.1037/a0025715openalex-snapshot
On the adequacy of current empirical evaluations of formal models of categorization.
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FUZZ: a fuzzy-based concept formation system that integrates human categorization and numerical clustering
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Minimum Coverage Hypersphere Based Category-Separability Criterion and Feature Selection
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Automated tuning of a vision-based inspection system for industrial food manufacturing
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A Wearable Device for Physical Activity Monitoring With Built-in Heart Rate Variability
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Evolving Extended Naive Bayes Classifiers
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Incremental Bayesian classification for Chinese question sentences based on fuzzy feedback
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Implementation of a Physical Activity Monitoring System for the Elderly People with Built-in Vital Sign and Fall Detection
inferred← citeshttps://doi.org/10.1109/rndm66856.2025.11073800openalex-snapshot
Dynamic ML Model Updating Strategies for Detection of Evolving Network Attacks
inferred← citeshttps://doi.org/10.1109/rose.2008.4669192openalex-snapshot
Feature selection for a real-time vision-based food inspection system
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A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates
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A comparatively research in incremental learning of Bayesian networks
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Image Classification via fusing the latent deep CNN feature
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Makine Öğrenmesi Yaklaşımlarının Spam-Mail Sınıflandırma Probleminde Karşılaştırmalı Analizi
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Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2018)
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Predicting and Explaining Human Semantic Search in a Cognitive Model
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A Cognitive Model of Semantic Network Learning
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Classification of Unseen Examples under Uncertainty
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Dependency-based feature selection for clustering symbolic data
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A Biological Signal-Based Stress Monitoring Framework for Children Using Wearable Devices
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Comparison of basic assumptions embedded in learning models for experience-based decision making
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Enhancing Grammatical Accuracy and Linguistic Fluency
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Prediction of Malignant and Benign Tumor using Machine Learning
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