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Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
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On Fuzzy Logic III. Semantical completeness of some many‐valued propositional calculi
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Adaptive Learning and Iterated Weak Dominance
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Rough Sets and Higher Order Vagueness
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Ontological Framework for Approximation
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Behavioral Pattern Identification Through Rough Set Modelling
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On-Line Elimination of Non-relevant Parts of Complex Objects in Behavioral Pattern Identification
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Eliciting Domain Knowledge in Handwritten Digit Recognition
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An Overview of Cooperative and Competitive Multiagent Learning
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Classifiers Based on Approximate Reasoning Schemes
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Rough Set Approach to Domain Knowledge Approximation
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Rough Sets: Trends and Challenges
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Constraint Based Incremental Learning of Classification Rules
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Autonomous Discovery of Abstractions through Interaction with an Environment
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Approximation Spaces and Information Granulation
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Layered Learning for Concept Synthesis
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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
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Rough Sets and Current Trends in Computing
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Information Granules and Rough-Neural Computing
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Approximate Reasoning in Distributed Environments
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Regularity Analysis and its Applications in Data Mining
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The Synthesis Problem of Concurrent Systems Specified by Dynamic Information Systems
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Learning Decision Rules from Similarity Based Rough Approximations
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Variable precision rough set model
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Rough mereology: A new paradigm for approximate reasoning
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Rough Set Approach to Pattern Extraction from Classifiers
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Cognition and Multi-Agent Interaction
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Statistical Learning Theory
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A general stochastic approach to solving problems with hard and soft constraints
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Reinforcement Learning: An Introduction
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Reinforcement Learning: An Introduction
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Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
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Rough Mereological Calculi of Granules: A Rough Set Approach To Computation
inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00646_6.xopenalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
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Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
inferredcites →https://doi.org/10.1613/jair.639openalex-snapshot
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
inferredcites →https://doi.org/10.2307/2530789openalex-snapshot
Encyclopedia of Statistical Sciences 2.
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TOLERANCE APPROXIMATION SPACES
inferredcites →https://doi.org/10.3233/fun-2006-712-310openalex-snapshot
Reinforcement Learning with Approximation Spaces
inferredcites →https://doi.org/10.5860/choice.33-0868openalex-snapshot
Thinking about logic: an introduction to the philosophy of logic
inferredcites →https://doi.org/10.7551/mitpress/4151.001.0001openalex-snapshot
Layered Learning in Multiagent Systems
inferredcites →https://doi.org/10.7551/mitpress/4643.001.0001openalex-snapshot
The Minimum Description Length Principle
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-0-387-30440-3_461openalex-snapshot
Rough Sets: Foundations and Perspectives
inferred← citeshttps://doi.org/10.1007/978-0-387-36795-8_7openalex-snapshot
Feature Extraction and Selection Methods
inferred← citeshttps://doi.org/10.1007/978-1-0716-2628-3_461openalex-snapshot
Rough Sets: Foundations and Perspectives
inferred← citeshttps://doi.org/10.1007/978-3-319-19941-2_29openalex-snapshot
Concept Synthesis Using Logic of Prototypes and Counterexamples: A Graded Consequence Approach
inferred← citeshttps://doi.org/10.1007/978-3-319-60837-2_14openalex-snapshot
Toward Adaptive Rough Sets
inferred← citeshttps://doi.org/10.1007/978-3-319-97879-6_13openalex-snapshot
Adaptive Rough Sets and Vague Concepts
inferred← citeshttps://doi.org/10.1007/978-3-540-71200-8_7openalex-snapshot
A Wistech Paradigm for Intelligent Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-72530-5_1openalex-snapshot
Toward Rough-Granular Computing
inferred← citeshttps://doi.org/10.1007/978-3-540-77028-2_7openalex-snapshot
Toward Perception Based Computing: A Rough-Granular Perspective
inferred← citeshttps://doi.org/10.1007/978-3-540-77046-6_24openalex-snapshot
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
inferred← citeshttps://doi.org/10.1007/978-3-540-89876-4_26openalex-snapshot
Hierarchical Classifiers for Complex Spatio-temporal Concepts
inferred← citeshttps://doi.org/10.1007/978-3-540-89876-4_3openalex-snapshot
On Certain Rough Inclusion Functions
inferred← citeshttps://doi.org/10.1007/978-3-540-92916-1_1openalex-snapshot
Rough-Granular Computing in Human-Centric Information Processing
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Rough-Granular Computing in Human-Centric Information Processing
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Interactive Granular Computing in Rightly Judging Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-03281-3_4openalex-snapshot
Rough Approximation Based on Weak q-RIFs
inferred← citeshttps://doi.org/10.1007/978-3-642-04735-0_1openalex-snapshot
Wisdom Technology: A Rough-Granular Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-05179-1_2openalex-snapshot
Toward Interactive Computations: A Rough-Granular Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-11164-8_16openalex-snapshot
Interactive Rough-Granular Computing in Pattern Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-11479-3_5openalex-snapshot
Satisfiability Judgement under Incomplete Information
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Decision Rule-Based Data Models Using TRS and NetTRS – Methods and Algorithms
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Discovery of Processes and Their Interactions from Data and Domain Knowledge
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Approximations and Classifiers
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Comparison of Some Classification Algorithms Based on Deterministic and Nondeterministic Decision Rules
inferred← citeshttps://doi.org/10.1007/978-3-642-19820-5_3openalex-snapshot
Calculi of Approximation Spaces in Intelligent Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-24425-4_89openalex-snapshot
Approximations of Functions: Toward Rough Granular Calculus
inferred← citeshttps://doi.org/10.1007/978-3-642-30344-9_24openalex-snapshot
Science and Semantics: A Note on Rough Sets and Vagueness
inferred← citeshttps://doi.org/10.1007/978-3-642-30344-9_3openalex-snapshot
Rough Sets: From Rudiments to Challenges
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Dialectics of Counting and the Mathematics of Vagueness
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Modeling rough granular computing based on approximation spaces
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The approximation set of a vague set in rough approximation space
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A dynamic rule-based classification model via granular computing
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General vague rough approximation: an extended method of fuzzy knowledge representation
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The Uncertainty Analysis of Vague Sets in Rough Approximation Spaces
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Approximate Reasoning in MAS: Rough Set Approach
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Knowledge acquisition in vague objective information systems based on rough sets
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Detection of HIV by using Rough Set and Homotopy Analysis Method
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Logic for Artificial Intelligence: A Rasiowa–Pawlak School Perspective
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Approximation Spaces in Rough–Granular Computing
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Perspectives on Uncertainty and Risk in Rough Sets and Interactive Rough-Granular Computing
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Satisfiability of Formulas from the Standpoint of Object Classification: The RST Approach
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