Model-based learning of rules for error diagnosis
K Zercher - Künstliche Intelligenz: GWAI-88, 12. Jahrestagung …, 1988 - Springer
For robot applications, automatic error diagnosis becomes an ever more important capability.
Diagnosis from first principles (DFP), a technique previously applied mostly to fault …
Diagnosis from first principles (DFP), a technique previously applied mostly to fault …
L-ATMS: A tight integration of EBL and the ATMS
K Zercher - Machine Learning: From Theory to Applications …, 2005 - Springer
Explanation-based learning (EBL) is a powerful, knowledge intensive learning technique [1,
9]. The main objective of EBL is to improve performance of a problem solver by caching …
9]. The main objective of EBL is to improve performance of a problem solver by caching …
L-ATMS
K Zercher - Machine Learning: From Theory to Applications …, 1993 - books.google.com
Explanation-based learning (EBL) is a powerful, knowledge intensive learning technique [1,
9]. The main objective of EBL is to improve performance of a problem solver by caching …
9]. The main objective of EBL is to improve performance of a problem solver by caching …
Constructing decision trees from examples and their explanation-based generalizations
K Zercher - International Workshop on Expert Systems in …, 1990 - Springer
Two algorithms which learn decision trees from examples and their EBL (explanation-based
learning) generated rules are presented. The first, IDG-1, learns correct but incomplete trees…
learning) generated rules are presented. The first, IDG-1, learns correct but incomplete trees…
The Role of Machine Learning in Knowledge Acquisition
K Zercher, B Radig - Software Development in Chemistry 4: Proceedings …, 1990 - Springer
Acquiring the knowledge for a knowledge-based system has proven to be a difficult task.
Machine learning techniques are one possible approach to tackle this problem. Three case …
Machine learning techniques are one possible approach to tackle this problem. Three case …
Explanation-based generalization and constraint propagation with interval labels
K Zercher - Machine Learning—EWSL-91: European Working …, 1991 - Springer
Two ways of applying EBG to constraint propagation with interval labels are presented. The
first method, CP-EBG-1, is described by a straightforward use of a Prolog EBG …
first method, CP-EBG-1, is described by a straightforward use of a Prolog EBG …
[BOOK][B] Machine learning: from theory to applications: cooperative research at Siemens and MIT
SJ Hanson, W Remmele, RL Rivest - 1993 - books.google.com
This volume includes some of the key research papers in the area of machine learning
produced at MIT and Siemens during a three-year joint research effort. It includes papers on …
produced at MIT and Siemens during a three-year joint research effort. It includes papers on …
[BOOK][B] Künstliche Intelligenz: GWAI-88, 12. Jahrestagung Eringerfeld, 19.–23. September 1988 Proceedings
W Hoeppner - 2013 - books.google.com
Der Band enthält alle Beiträge, die für die 12. Jahrestagung'Künstliche Intelligenz'(GWAI-88)
vom Programmkomitee akzeptiert worden sind. Die 29 Fachbeiträge werden von drei …
vom Programmkomitee akzeptiert worden sind. Die 29 Fachbeiträge werden von drei …
[BOOK][B] Expert Systems in Engineering: Principles and Applications
The goal of the International Workshop on Expert Systems in Engineering is to stimulate the
flow of information between researchers working on theoretical and applied research topics …
flow of information between researchers working on theoretical and applied research topics …
[PDF][PDF] We will be the global partner for a safe world
D Automotive, SE DEKRA - wireless.dekra-product-safety.com
With a workforce of almost 37,000 DEKRA is synonymous with innovative services in the
safety segment in more than 50 countries across all continents. DEKRA is a noted market …
safety segment in more than 50 countries across all continents. DEKRA is a noted market …