Knowledge-Based Expert Systems
Computer - IEEE Centennial: the state of computing
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
The epistemology of a rule-based expert system: a framework for explanation
The epistemology of a rule-based expert system: a framework for explanation
Genetic algorithms as function optimizers
Genetic algorithms as function optimizers
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
Introduction to mathematical techniques in pattern recognition
Introduction to mathematical techniques in pattern recognition
Prioritizing Information for the Discovery of Phenomena
Journal of Intelligent Information Systems
Selecting Examples for Partial Memory Learning
Machine Learning
An Efficient Inductive Learning Method for Object-Oriented Database Using Attribute Entropy
IEEE Transactions on Knowledge and Data Engineering
Incremental Learning with Partial Instance Memory
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Incremental learning with partial instance memory
Artificial Intelligence
Fuzzy classification systems based on fuzzy information gain measures
Expert Systems with Applications: An International Journal
On biases in estimating multi-valued attributes
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Improved variable and value ranking techniques for mining categorical traffic accident data
Expert Systems with Applications: An International Journal
Differential Evolution for learning the classification method PROAFTN
Knowledge-Based Systems
Focusing solutions for data mining: analytical studies and experimental results in real-world domains
Automatic generation of object class descriptions using symbolic learning techniques
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
An accumulative points/votes based approach for feature selection
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Machine learning for medical diagnosis: history, state of the art and perspective
Artificial Intelligence in Medicine
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A computable measure was developed that can be used to discriminate between attributes on the basis of their potential value in the formation of decision rules by the inductive learning process. This relevance measure is the product of extensions to an information-theoretic foundation that address the particular characteristics of a class of inductive learning algorithms. The measure is also conceptually compatible with approaches from pattern recognition. It is described in the context of a generalized model of the expertise development process, and an experiment is presented in which a significant reduction in the number of attributes to be considered was achieved for a complex medical domain.