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Inductive Policy: The Pragmatics of Bias Selection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-56004-1_20openalex-snapshot
Inductive strengthening: The effects of a simple heuristic for restricting hypothesis space search
inferredcites →https://doi.org/10.1007/978-1-4613-1523-0_16openalex-snapshot
Declarative Bias: An Overview
inferredcites →https://doi.org/10.1007/978-1-4613-1523-0_8openalex-snapshot
A Theory of Justified Reformulations
inferredcites →https://doi.org/10.1007/978-1-4613-1557-5_6openalex-snapshot
Incremental Batch Learning
inferredcites →https://doi.org/10.1007/978-1-4613-1641-1openalex-snapshot
Machine Learning, Meta-Reasoning and Logics
inferredcites →https://doi.org/10.1007/978-1-4613-1641-1_3openalex-snapshot
Shift of Bias as Non-Monotonic Reasoning
inferredcites →https://doi.org/10.1007/978-1-4613-8716-9_14openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers. I
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_3openalex-snapshot
A COMPARATIVE REVIEW OF SELECTED METHODS FOR LEARNING FROM EXAMPLES
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_6openalex-snapshot
LEARNING BY EXPERIMENTATION: ACQUIRING AND REFINING PROBLEM-SOLVING HEURISTICS
inferredcites →https://doi.org/10.1007/bf00114116openalex-snapshot
Explanation-Based Learning: An Alternative View
inferredcites →https://doi.org/10.1007/bf00114117openalex-snapshot
A General Framework for Induction and a Study of Selective Induction
inferredcites →https://doi.org/10.1007/bf00116898openalex-snapshot
Scaling Up Inductive Learning with Massive Parallelism
inferredcites →https://doi.org/10.1007/bf00993074openalex-snapshot
Inferential theory of learning as a conceptual basis for multistrategy learning
inferredcites →https://doi.org/10.1007/bf00993106openalex-snapshot
Selecting a classification method by cross-validation
inferredcites →https://doi.org/10.1007/bf00993475openalex-snapshot
Recursive Automatic Bias Selection for Classifier Construction
inferredcites →https://doi.org/10.1016/0004-3702(75)90002-8openalex-snapshot
Optimal problem-solving search: All-or-none solutions
inferredcites →https://doi.org/10.1016/0004-3702(80)90011-9openalex-snapshot
Circumscription—A form of non-monotonic reasoning
inferredcites →https://doi.org/10.1016/0004-3702(85)90004-9openalex-snapshot
Machine learning: An artificial intelligence approach
inferredcites →https://doi.org/10.1016/0004-3702(85)90084-0openalex-snapshot
Depth-first iterative-deepening
inferredcites →https://doi.org/10.1016/0004-3702(88)90002-1openalex-snapshot
Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
inferredcites →https://doi.org/10.1016/0022-2496(83)90037-8openalex-snapshot
Machine learning: An artificial intelligence approach
inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-snapshot
Classification and regression trees
inferredcites →https://doi.org/10.1016/0952-1976(90)90012-bopenalex-snapshot
Innovative applications of artificial intelligence
inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50036-2openalex-snapshot
Circumscription—A Form of Non-Monotonic Reasoning
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50015-3openalex-snapshot
Experiments on the Costs and Benefits of Windowing in ID3
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50093-xopenalex-snapshot
INCREMENTAL BATCH LEARNING
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50109-0openalex-snapshot
A THEORY OF JUSTIFIED REFORMULATIONS
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50051-1openalex-snapshot
The General Utility Problem in Machine Learning
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50101-xopenalex-snapshot
Probabilistic Evaluation of Bias for Learning Systems
inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50012-7openalex-snapshot
Peepholing: choosing attributes efficiently for megainduction
inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50009-5openalex-snapshot
Addressing the Selective Superiority Problem: Automatic Algorithm/Model Class Selection
inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50017-4openalex-snapshot
Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network
inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50034-4openalex-snapshot
Decision Theoretic Subsampling for Induction on Large Databases
inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50041-1openalex-snapshot
An SE-tree based Characterization of the Induction Problem
inferredcites →https://doi.org/10.1023/a:1022631118932openalex-snapshot
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
inferredcites →https://doi.org/10.1023/a:1022639714137openalex-snapshot
Technical Note: Selecting a Classification Method by Cross-Validation
inferredcites →https://doi.org/10.1023/a:1022691120807openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1023/a:1022699900025openalex-snapshot
Incremental Induction of Decision Trees
inferredcites →https://doi.org/10.1023/a:1022869011914openalex-snapshot
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
inferredcites →https://doi.org/10.1109/afips.1961.6openalex-snapshot
A Pattern Recognition Program That Generates, Evaluates and Adjusts its Own Operators
inferredcites →https://doi.org/10.1109/tai.1990.130305openalex-snapshot
RL4: a tool for knowledge-based induction
inferredcites →https://doi.org/10.1109/tai.1992.246361openalex-snapshot
ClimBS: searching the bias space
inferredcites →https://doi.org/10.1145/321229.321230openalex-snapshot
An Efficient Algorithm for Finding Certain Minimum-Cost Procedures for Making Binary Decisions
inferredcites →https://doi.org/10.1147/rd.33.0210openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers
inferredcites →https://doi.org/10.1201/9780203757673openalex-snapshot
Encyclopedia of Computer Science and Technology
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inferred← citeshttps://doi.org/10.1002/cpe.3437openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/wcs.1265openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/11691730_10openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/3-540-31314-1_13openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/3-540-36182-0_14openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/3-540-44869-1_89openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/3-540-46502-2_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/3-540-61532-6_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4615-1733-7_16openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-48317-7_19openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-30549-1_40openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-78469-2_10openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-23091-2_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf00116898openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf02637154openalex-snapshot
Collective Mining of Bayesian Networks from Distributed Heterogeneous Data
inferred← citeshttps://doi.org/10.1007/bf03256203openalex-snapshot
Plasma and Cerebrospinal Fluid-Based Protein Biomarkers for Motor Neuron Disease
inferred← citeshttps://doi.org/10.1007/s10115-003-0100-2openalex-snapshot
An Agenda- and Justification-Based Framework for Discovery Systems
inferred← citeshttps://doi.org/10.1007/s10994-010-5228-1openalex-snapshot
Anytime learning of anycost classifiers
inferred← citeshttps://doi.org/10.1016/b978-1-55860-377-6.50065-7openalex-snapshot
For Every Generalization Action, Is There Really an Equal and Opposite Reaction? Analysis of the Conservation Law for Generalization Performance
inferred← citeshttps://doi.org/10.1016/j.jbi.2005.02.005openalex-snapshot
Predicting dire outcomes of patients with community acquired pneumonia
inferred← citeshttps://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferred← citeshttps://doi.org/10.1016/s0933-3657(03)00062-9openalex-snapshot
Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues
inferred← citeshttps://doi.org/10.1016/s1088-467x(99)00026-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1007404308006openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1007452223027openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1007665204628openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1009848126475openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1009876119989openalex-snapshot
A Survey of Methods for Scaling Up Inductive Algorithms
inferred← citeshttps://doi.org/10.1023/a:1012813326519openalex-snapshot
Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique
inferred← citeshttps://doi.org/10.1037/a0024143openalex-snapshot
Cognitive niches: An ecological model of strategy selection.
inferred← citeshttps://doi.org/10.1109/bigdatacongress.2015.125openalex-snapshot
Two Steps Genetic Programming for Big Data - Perspective of Distributed and High-Dimensional Data
inferred← citeshttps://doi.org/10.1109/cec.2005.1554956openalex-snapshot
Cost-Sensitive Classification with Genetic Programming
inferred← citeshttps://doi.org/10.1109/csb.2003.1227363openalex-snapshot
Using rule induction methods to analyze gene expression data
inferred← citeshttps://doi.org/10.1109/hicss.1998.648319openalex-snapshot
Knowledge discovery: comprehensibility of the results
inferred← citeshttps://doi.org/10.1109/icdm.2001.989543openalex-snapshot
Closing the loop: an agenda- and justification-based framework for selecting the next discovery task to perform
inferred← citeshttps://doi.org/10.1109/icdm.2001.989544openalex-snapshot
Closing the loop: heuristics for autonomous discovery
inferred← citeshttps://doi.org/10.1109/icmla.2005.41openalex-snapshot
Integrating Knowledge-Driven and Data-Driven Approaches for the Derivation of Clinical Prediction Rules
inferred← citeshttps://doi.org/10.1109/icnn.1997.611627openalex-snapshot
Using neural networks to automatically refine expert system knowledge bases: experiments in the NYNEX MAX domain
inferred← citeshttps://doi.org/10.1109/tai.1992.246361openalex-snapshot
ClimBS: searching the bias space
inferred← citeshttps://doi.org/10.1109/tai.2000.889850openalex-snapshot
What's new? Using prior models as a measure of novelty in knowledge discovery
inferred← citeshttps://doi.org/10.1109/tkde.2005.67openalex-snapshot
Toward intelligent assistance for a data mining process: an ontology-based approach for cost-sensitive classification
inferred← citeshttps://doi.org/10.1109/tsmcb.2004.825912openalex-snapshot
Providing QoS Through Machine-Learning-Driven Adaptive Multimedia Applications
inferred← citeshttps://doi.org/10.1109/wetice.2010.56openalex-snapshot
The Data Wave: Data Management and Mining
inferred← citeshttps://doi.org/10.1111/j.1468-0394.2005.00311.xopenalex-snapshot
Inducing safer oblique trees without costs
inferred← citeshttps://doi.org/10.1111/j.1471-4159.2005.03478.xopenalex-snapshot
Proteomic profiling of cerebrospinal fluid identifies biomarkers for amyotrophic lateral sclerosis
inferred← citeshttps://doi.org/10.1117/12.421067openalex-snapshot
Toward ubiquitous mining of distributed data
inferred← citeshttps://doi.org/10.1137/1.9781611972719.19openalex-snapshot
A Fourier Analysis Based Approach to Learning Decision Trees in a Distributed Environment
inferred← citeshttps://doi.org/10.1142/s0218213001000647openalex-snapshot
MODEL SELECTION VIA META-LEARNING: A COMPARATIVE STUDY
inferred← citeshttps://doi.org/10.1145/500737.500758openalex-snapshot
Ontology-guided knowledge discovery in databases
inferred← citeshttps://doi.org/10.1162/evco.1996.4.3.271openalex-snapshot
How to Shift Bias: Lessons from the Baldwin Effect
inferred← citeshttps://doi.org/10.1177/0162243920944225openalex-snapshot
Model Talk: Calculative Cultures in Quantitative Finance
inferred← citeshttps://doi.org/10.1177/20539517211020775openalex-snapshot
Turning biases into hypotheses through method: A logic of scientific discovery for machine learning
inferred← citeshttps://doi.org/10.13021/mars/5006openalex-snapshot
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inferred← citeshttps://doi.org/10.1609/aimag.v25i1.1748openalex-snapshot
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inferred← citeshttps://doi.org/10.1613/jair.120openalex-snapshot
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inferred← citeshttps://doi.org/10.1613/jair.2602openalex-snapshot
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
inferred← citeshttps://doi.org/10.1613/jair.368openalex-snapshot
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inferred← citeshttps://doi.org/10.17705/1cais.00506openalex-snapshot
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inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.727-728.976openalex-snapshot
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inferred← citeshttps://doi.org/10.65301/dias.2009.6.1.366openalex-snapshot
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