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A Nearest Hyperrectangle Learning Method
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Learning with Nested Generalized Exemplars
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A COMPARATIVE REVIEW OF SELECTED METHODS FOR LEARNING FROM EXAMPLES
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Instance-Based Learning Algorithms
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Multilevel counterfactuals for generalizations of relational concepts and productions
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Extensions to the CART algorithm
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LEARNING NESTED DIFFERENCES OF INTERSECTION-CLOSED CONCEPT CLASSES
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MODEL-DIRECTED LEARNING OF PRODUCTION RULES11This work was supported by the Advanced Research Projects Agency under contract DAHC 15-73-C-0435, and by the National Institutes of Health under grant RR 00612–07.
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Learning Representative Exemplars of Concepts: An Initial Case Study
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INCREMENTAL, INSTANCE-BASED LEARNING OF INDEPENDENT AND GRADED CONCEPT DESCRIPTIONS
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Pattern-Directed Inference Systems
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Conceptual combination with prototype concepts
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Context theory of classification learning.
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Nearest neighbor pattern classification
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Ashley,K. D.-But, see, accord: generating blue book citations in HYPO
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Model-Directed Learning of Production Rules
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Retrieval and Organizational Strategies in Conceptual Memory: A Computer Model
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Structural Principles in Categorization
What points at this work
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An efficient construction and application usefulness of rectangle greedy covers
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LiNearN: A new approach to nearest neighbour density estimator
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IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering
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Possibilistic instance-based learning
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Learning good prototypes for classification using filtering and abstraction of instances
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Local discriminative learning for pattern recognition
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A multiclass neural network classifier with fuzzy teaching inputs
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Chapter 18 Committees of decision trees
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A comparative assessment of classification methods
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Learning translation templates from examples
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Similarity-based inference as evidential reasoning
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Mixed fuzzy rule formation
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Learning from noisy information in FasArt and FasBack neuro-fuzzy systems
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A neural network classifier with disjunctive fuzzy information
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Machine learning in human-robot interaction
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Constructive training of probabilistic neural networks
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Formalising optimal feature weight setting in case based diagnosis as linear programming problems
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The omnipresence of case-based reasoning in science and application
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SVM approximation for real-time image segmentation by using an improved hyperrectangles-based method
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Decision Combination Based on the Characterisation of Predictive Accuracy
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Constructing fuzzy graphs from examples
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NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection
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Retrieval strategies for case-based reasoning: a categorised bibliography
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An integrated approach for different attribute types in nearest neighbour classification
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Intelligent Selection of Instances for Prediction Functions in Lazy Learning Algorithms
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Control-Sensitive Feature Selection for Lazy Learners
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A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
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Reduction Techniques for Instance-Based Learning Algorithms
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Relational Instance-Based Learning with Lists and Terms
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Handwritten Chinese Character Recognition Based on Primitive and Fuzzy Features via the SEART Neural Net Model
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Advances in Instance Selection for Instance-Based Learning Algorithms
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An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection
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Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
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DeEPs: A New Instance-Based Lazy Discovery and Classification System
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Fuzzy exemplar‐based inference system for flood forecasting
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CONCEPT REPRESENTATION WITH OVERLAPPING FEATURE INTERVALS
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Distance-Based Classification Methods
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ANALYZING FRENCH JUSTICE WITH A GENETIC-BASED INDUCTIVE ALGORITHM
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Learning nested concept classes with limited storage
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Careful abstraction from instance families in memory-based language learning
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Sharing knowledge with robots
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Best-case results for nearest-neighbor learning
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A novel approach to feature selection based on analysis of class regions
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Function approximation based on fuzzy rules extracted from partitioned numerical data
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An efficient fuzzy classifier with feature selection based on fuzzy entropy
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Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
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Fuzzy min-max neural networks. I. Classification
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Modelled concept learning for database knowledge discovery
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