Sökning: "rule extraction"
Visar resultat 6 - 10 av 22 avhandlingar innehållade orden rule extraction.
6. Rule extraction - the key to accurate and comprehensible data mining models
Sammanfattning : The primary goal of predictive modeling is to achieve high accuracy when the model is applied to novel data. For certain problems this requires the use of complex techniques, such as neural networks, resulting in opaque models that are hard or impossible to interpret. LÄS MER
7. Best Trees Extraction and Contextual Grammars for Language Processing
Sammanfattning : In natural language processing, the syntax of a sentence refers to the words used in the sentence, their grammatical role, and their order. Semantics concerns the concepts represented by the words in the sentence and their relations, i.e., the meaning of the sentence. LÄS MER
8. Ontology Integration with Non-Violation Check and Context Extraction
Sammanfattning : Matching and integrating ontologies has been a desirable technique in areas such as data fusion, knowledge integration, the Semantic Web and the development of advanced services in distributed system. Unfortunately, the heterogeneities of ontologies cause big obstacles in the development of this technique. LÄS MER
9. Mobility Knowledge Graph and its Application in Public Transport
Sammanfattning : Efficient public transport planning, operations, and control rely on a deep understanding of human mobility in urban areas. The availability of extensive and diverse mobility data sources, such as smart card data and GPS data, provides opportunities to quantitatively study individual behavior and collective mobility patterns. LÄS MER
10. Development and application of rule- and learning-based approaches within the scope of neuroimaging : Tensor voting, tractography and machine learning
Sammanfattning : The opportunity to non-invasively probe the structure and function of different parts of the human body makes medical imaging an indispensable tool in clinical diagnostics and related fields of research. Especially neuroscientists rely on modalities like structural or functional Magnetic Resonance Imaging, Computed Tomography or Positron Emission Tomography to study the human brain in vivo. LÄS MER