Unified theories of cognition
The nature of statistical learning theory
The nature of statistical learning theory
Rough mereological foundations for design, analysis, synthesis, and control in distributed systems
Information Sciences: an International Journal - From rough sets to soft computing
Machine Learning
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Toward knowledge-rich data mining
Data Mining and Knowledge Discovery
Discussion: From imprecise to granular probabilities
Fuzzy Sets and Systems
Rough sets in perception-based computing
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Domain knowledge assimilation by learning complex concepts
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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We discuss the hierarchical learning approach applied to the recognition of structured objects. Learning algorithms for such objects usually display high complexity and typically require a priori assumptions on the subject domain. Hierarchical learning is designed to alleviate many problems associated with structured object recognition. It helps steer searches for solutions toward more promising paths in the otherwise computationally prohibitive search spaces by breaking the original task into simpler, more manageable subtasks. It provides for an effective interactive mechanism to transfer the additional domain knowledge expressed by external human experts into low level operators. The design and the implementation of hierarchical learning and domain knowledge elicitation, based on approximate reasoning and rough mereology constitute an excellent example of Granular Computing at work.