International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Original Contribution: Stacked generalization
Neural Networks
Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
Decision tree pruning: biased or optimal?
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
IEEE Expert: Intelligent Systems and Their Applications
Machine Learning
Machine Learning
Separate-and-Conquer Rule Learning
Artificial Intelligence Review
Solving regression problems with rule-based ensemble classifiers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Inducing classification and regression trees in first order logic
Relational Data Mining
Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Rule-Based Ensemble Solutions for Regression
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Generating Rule Sets from Model Trees
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Efficient and Comprehensible Local Regression
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
An Eager Regression Method Based on Best Feature Projections
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Tree induction vs. logistic regression: a learning-curve analysis
The Journal of Machine Learning Research
In search of the Horowitz factor
AI Magazine
An overview of regression techniques for knowledge discovery
The Knowledge Engineering Review
Instance-Based Regression by Partitioning Feature Projections
Applied Intelligence
An intelligent method for computer-aided trauma decision making system
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Extrapolation errors in linear model trees
ACM Transactions on Knowledge Discovery from Data (TKDD)
Regression via Classification applied on software defect estimation
Expert Systems with Applications: An International Journal
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Rule-Based prediction of rare extreme values
DS'06 Proceedings of the 9th international conference on Discovery Science
A novel algorithm applied to classify unbalanced data
Applied Soft Computing
Heuristic rule-based regression via dynamic reduction to classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Accurate intelligible models with pairwise interactions
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
| Hi-index | 0.00 |
We describe a machine learning method for predicting the value of a real-valued function, given the values of multiple input variables. The method induces solutions from samples in the form of ordered disjunctive normal form (DNF) decision rules. A central objective of the method and representation is the induction of compact, easily interpretable solutions. This rule-based decision model can be extended to search efficiently for similar cases prior to approximating function values. Experimental results on real-world data demonstrate that the new techniques are competitive with existing machine learning and statistical methods and can sometimes yield superior regression performance.