Knowing what doesn't matter: exploiting the omission of irrelevant data

An apprentice learning model (extended abstract)

COLT '99 Proceedings of the twelfth annual conference on Computational learning theory

Learning cost-sensitive active classifiers

Artificial Intelligence

Cost-Constrained Data Acquisition for Intelligent Data Preparation

IEEE Transactions on Knowledge and Data Engineering

Estimation of relevance and fusion of data sources using belief function theory: application to bioprocess

CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology

The complexity of theory revision

Artificial Intelligence

Logical analysis of binary data with missing bits

Artificial Intelligence

Partial observability and learnability

Artificial Intelligence

Information-theoretic approaches to SVM feature selection for metagenome read classification

Computational Biology and Chemistry

Bioprocess diagnosis based on the empirical use of distance measures in the theory of belief functions

Engineering Applications of Artificial Intelligence