Communications of the ACM
Machine learning of inductive bias
Machine learning of inductive bias
Structured induction in expert systems
Structured induction in expert systems
Approaches to knowledge representation: an introduction
Approaches to knowledge representation: an introduction
International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Incremental learning of concept descriptions: A method and experimental results
Machine intelligence 11
Decision trees and multi-valued attributes
Machine intelligence 11
Extensions to the CART algorithm
International Journal of Man-Machine Studies
Inferring decision trees using the minimum description length principle
Information and Computation
Introduction: paradigms for machine learning
Artificial Intelligence
Models of incremental concept formation
Artificial Intelligence
Feature construction: an analytic framework and an application to decision trees
Feature construction: an analytic framework and an application to decision trees
Incremental learning of rules and Meta-rules
Proceedings of the seventh international conference (1990) on Machine learning
An incremental method for finding multivariate splits for decision trees
Proceedings of the seventh international conference (1990) on Machine learning
Incremental induction of topologically minimal trees
Proceedings of the seventh international conference (1990) on Machine learning
Two algorithms that learn DNF by discovering relevant features
Proceedings of the sixth international workshop on Machine learning
Improved training via incremental learning
Proceedings of the sixth international workshop on Machine learning
Incremental concept formation via a suitability criterion
Proceedings of the conference on Data analysis, learning symbolic and numeric knowledge
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Incremental learning from examples using HC-expressions
Pattern Recognition
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Instance-Based Learning Algorithms
Machine Learning
Information-Based Evaluation Criterion for Classifier's Performance
Machine Learning
The Use of Background Knowledge in Decision Tree Induction
Machine Learning
Machine learning: a theoretical approach
Machine learning: a theoretical approach
Protos: an exemplar-based learning apprentice
Machine learning
Machine learning
Neural networks in C++: an object-oriented framework for building connectionist systems
Neural networks in C++: an object-oriented framework for building connectionist systems
Machine intelligence 12
Nonparametric classification using matched binary decision trees
Pattern Recognition Letters
Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
International Journal of Man-Machine Studies - Special issue: symbolic problem solving in noisy and novel task environments
C4.5: programs for machine learning
C4.5: programs for machine learning
Second generation expert systems
Second generation expert systems
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Inductive logic programming: derivations, successes and shortcomings
ACM SIGART Bulletin
Efficient top-down induction of logic programs
ACM SIGART Bulletin
Case-based reasoning
Trading Accuracy for Simplicity in Decision Trees
Machine Learning
TD(λ) Converges with Probability 1
Machine Learning
Towards a technology and a science of machine learning
AI Communications
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
Computational Complexity of Machine Learning
Computational Complexity of Machine Learning
Learning with Nested Generalized Exemplars
Learning with Nested Generalized Exemplars
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Learning Search Control Knowledge: An Explanation-Based Approach
Learning Search Control Knowledge: An Explanation-Based Approach
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Learning by Discovering Problem Solving Heuristics Through Experience
IEEE Transactions on Knowledge and Data Engineering
Learning Logical Definitions from Relations
Machine Learning
Incremental Induction of Decision Trees
Machine Learning
Machine Learning
Machine Learning
Machine Learning
A General Framework for Induction and a Study of Selective Induction
Machine Learning
Learning at the Knowledge Level
Machine Learning
Incremental Learning from Noisy Data
Machine Learning
Experiments with Incremental Concept Formation: UNIMEM
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Machine Learning
When Does Overfitting Decrease Prediction Accuracy in Induced Decision Trees and Rule Sets?
EWSL '91 Proceedings of the European Working Session on Machine Learning
The System FLORA: Learning from Type-Varying Training Sets
EWSL '91 Proceedings of the European Working Session on Machine Learning
The Effects of Noise on Efficient Incremental Induction (Extended Abstract)
ECML '95 Proceedings of the 8th European Conference on Machine Learning
Compression, Significance, and Accuracy
ML '92 Proceedings of the Ninth International Workshop on Machine Learning
Data Mining: the search for knowledge in databases.
Data Mining: the search for knowledge in databases.
Decision Tree Induction Based on Efficient Tree Restructuring
Decision Tree Induction Based on Efficient Tree Restructuring
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
OPUS: an efficient admissible algorithm for unordered search
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Rerepresenting and restructuring domain theories: a constructive induction approach
Journal of Artificial Intelligence Research
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
An initial framework of contexts for designing usable intelligent tutoring systems
Information Services and Use
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Supervised Machine Learning: A Review of Classification Techniques
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Differential Evolution for learning the classification method PROAFTN
Knowledge-Based Systems
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This paper reviews Machine Learning (ML), and extends and complements previous work (Kocabas, 1991; Kalkanis and Conroy, 1991). Although this paper focuses on inductive learning, it at least touches on a great many aspects of ML in general. In addition, incremental induction is also reviewed. Therefore, a general review of ML is presented, but specific detail which has been covered previously is omitted, although other relevant references are noted, and later material is commented upon.