Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 8 of 8 for “"Rule extraction"”.
-
A Hybrid heuristic-exhaustive search approach for rule extraction
… performs satisfactory, yielding accurate, crisp rule sets. Probably the main strength of the HCS algorithm is its simplicity, so it can be the foundation for many possible future extensions. Some of the possible extensions of the new proposed algorithm are suggested in the final part of this …
-
Rule Extraction from Support Vector Machines: A Geometric Approach
… them less competitive than symbolic systems. Rule extraction from neural networks makes the interpretation of the behaviour of connectionist networks possible by relating sub-symbolic and symbolic process- ing. However, most rule extraction methods focus only on speci¯c neural network …
-
Identification of chemical species using artificial intelligence to interpret optical emission spectra
… parameters; and the implementation of a novel rule extraction procedure to relate the real multi-output values of the spectral line sizes to individual input process parameters. Not only are the trained species models excellent in their predictive capability, but they also provide the …
-
Extraction of formal manufacturing rules from unstructured English text
… i.e., computer-interpretable, knowledge and rules along with the context or semantics. On the other hand, manufacturing knowledge has been maintained primarily in the form of unstructured English text. It is considered impractical for engineers to author accurate, formal, and structured …
-
Random Forests Based Rule Learning And Feature Elimination
… that can simultaneously extract decision rules and select critical features for good interpretation while preserving the prediction performance. We propose an efficient approach, combining rule extraction and feature elimination, based on 1-norm regularized random forests. This approach …
-
Mining Functional and Structural Relationships of Context Variables in Smart-Buildings
… presents an extension to the new IoT class rule programming paradigm, which simplifies rule creation based on classes. The proposed extension uses a semantic compiler to simplify the device and inferred-context associations. Using direct-context information and template classes, the compiler …
-
Deep Syntax in Statistical Machine Translation
… in the deep syntactic structure, allowing the extraction of more general transfer rules, compared to other rules/phrases extracted from the surface form corpus, as such words are often distant in surface form strings, as well as allowing the use of a TL deep syntax language model, which models …