Relevant bibliographies by topics / Rule extraction / Dissertations / Theses
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Dissertations / Theses on the topic 'Rule extraction'

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Published: 4 June 2021
Last updated: 25 July 2025

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1

Jacobsson, Henrik. "Rule extraction from recurrent neural networks." Thesis, University of Sheffield, 2006. http://etheses.whiterose.ac.uk/6081/.

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2

Zeranou, Kalliopi. "Template rule development for information extraction: The net method." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489539.

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Information Extraction (IE) is becoming increasingly important for the semantic analysis of free-text documents stored in large document repositories, such as the Web. Once free-text is analysed for the recognition of concepts and concept interrelations in events and facts of interest, the resulting structured information becomes a valuable knowledge resource. This resource can be of further use in other information management technologies, such as document summarisation, ontology development, semantic document indexing, question answering, etc., or can be further exploited by data mining and
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3

Ren, Lu. "Rule extraction from Support Vector Machines : a geometric approach." Thesis, City University London, 2008. http://openaccess.city.ac.uk/11917/.

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Despite the success of connectionist systems in prediction and classification problems, critics argue that the lack of symbol processing and explanation capability makes 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 processing. However, most rule extraction methods focus only on specific neural network architectures and present limited generalization performance. Support Vector Machine is an unsupervised learning method that has been recently ap
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4

Andrews, Robert. "An automated rule refinement system." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/15788/1/Robert_Andrews_Thesis.pdf.

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Artificial neural networks (ANNs) are essentially a 'black box' technology. The lack of an explanation component prevents the full and complete exploitation of this form of machine learning. During the mid 1990's the field of 'rule extraction' emerged. Rule extraction techniques attempt to derive a human comprehensible explanation structure from a trained ANN. Andrews et.al. (1995) proposed the following reasons for extending the ANN paradigm to include a rule extraction facility: * provision of a user explanation capability * extension of the ANN paradigm to 'safety critical' problem d
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Andrews, Robert. "An Automated Rule Refinement System." Queensland University of Technology, 2003. http://eprints.qut.edu.au/15788/.

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Artificial neural networks (ANNs) are essentially a 'black box' technology. The lack of an explanation component prevents the full and complete exploitation of this form of machine learning. During the mid 1990's the field of 'rule extraction' emerged. Rule extraction techniques attempt to derive a human comprehensible explanation structure from a trained ANN. Andrews et.al. (1995) proposed the following reasons for extending the ANN paradigm to include a rule extraction facility: * provision of a user explanation capability * extension of the ANN paradigm to 'safety critical' problem d
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6

Etchells, Terence Anthony. "Rule extraction from neural networks : a practical and efficient approach." Thesis, Liverpool John Moores University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402847.

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Rodic, Daniel. "A Hybrid search heuristic-exhaustive search approach for rule extraction." Pretoria : [s.n.], 2000. http://upetd.up.ac.za/thesis/available/etd-05292006-110006/.

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8

Dancey, Darren. "Tree based methods for rule extraction from artificial neural networks." Thesis, Manchester Metropolitan University, 2008. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493691.

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9

Nayak, Richi. "GYAN: A methodology for rule extraction from artificial neural networks." Thesis, Queensland University of Technology, 1999. https://eprints.qut.edu.au/36857/6/Richi%20Nayak_Digitised%20Thesis.pdf.

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Artificial neural network (ANN) learning methods provide a robust and non-linear approach to approximating the target function for many classification, regression and clustering problems. ANNs have demonstrated good predictive performance in a wide variety of practical problems. However, there are strong arguments as to why ANNs are not sufficient for the general representation of knowledge. The arguments are the poor comprehensibility of the learned ANN, and the inability to represent explanation structures. The overall objective of this thesis is to address these issues by: (1) explanatio
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10

Siniakov, Peter [Verfasser]. "GROPUS – an Adaptive Rule-based Algorithm for Information Extraction / Peter Siniakov." Berlin : Freie Universität Berlin, 2008. http://d-nb.info/1022642065/34.

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11

McGarry, Kenneth J. "Rule extraction and knowledge transfer from radial basis function neural networks." Thesis, University of Sunderland, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391744.

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12

CARRARO, CINTIA DE FARIA FERREIRA. "HYBRID SYSTEM FOR RULE EXTRACTION APPLIED TO DIAGNOSIS OF POWER TRANSFORMERS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=20756@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Este trabalho tem como objetivo construir um classificador baseado em regras de inferência fuzzy, as quais são extraídas a partir de máquinas de vetor suporte (SVMs) e ajustadas com o auxílio de um algoritmo genético. O classificador construído visa a diagnosticar transformadores de potência. As SVMs são sistemas de aprendizado baseados na teoria do aprendizado estatístico e apresentam boa habilidade de generalização em conjuntos de dados reais. SVMs, da mesma forma que redes neurais (RN), geram um modelo caixa preta, isto é, um modelo que
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13

Ganduri, Chandrasekhar. "Rule Driven Job-Shop Scheduling Derived from Neural Networks through Extraction." Ohio University / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1102537257.

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14

Thuramalla, Smitha. "RULE EXTRACTION TO ESTABLISH CRITERIA FOR MINICELL DESIGN IN MASS CUSTOMIZATION MANUFACTURING." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/433.

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Minicell-based manufacturing system is used in identifying best minicell designs. The existing method of minicell design generates best minicell designs by designing and scheduling minicells simultaneously. While in this research designing of minicells and scheduling of jobs in minicells is done separately. This research evaluates the effectiveness of hierarchical approach and compares with simultaneous method. Minicell designs with respect to average flow times and machine capacities and both are identified in a multi-stage flow shop environment. Rules for the extraction of good minicell desi
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15

Wicker, Jerome. "Crystallization properties of molecular materials : prediction and rule extraction by machine learning." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:34beef4e-e499-4248-8fa6-7e8d8344f02c.

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Crystallization is an increasingly important process in a variety of applications from drug development to single crystal X-ray diffraction structure determination. However, while there is a good deal of research into prediction of molecular crystal structure, the factors that cause a molecule to be crystallizable have so far remained poorly understood. The aim of this project was to answer the seemingly straightforward question: can we predict how easily a molecule will crystallize? The Cambridge Structural Database contains almost a million examples of materials from the scientific literatur
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16

Howes, Peter John. "Analysis of neural network mapping functions : generating evidential support." Thesis, Oxford Brookes University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287718.

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Orovas, Christos. "Cellular associative neural networks for pattern recognition." Thesis, University of York, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310983.

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18

Seemann, Nina [Verfasser], and Andreas [Akademischer Betreuer] Maletti. "Rule extraction for multi bottom-up tree transducers / Nina Seemann ; Betreuer: Andreas Maletti." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2016. http://d-nb.info/112864648X/34.

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19

Frederiksens, Tomas. "Unearthing rule mining : power and the political ecology of extraction in colonial Zambia." Thesis, University of Manchester, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.525165.

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20

GONCALVES, LAERCIO BRITO. "NEURAL-FUZZY HIERARCHICAL MODELS FOR PATTERN CLASSIFICATION AND FUZZY RULE EXTRACTION FROM DATABASES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2001. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=1326@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Esta dissertação investiga a utilização de sistemas Neuro- Fuzzy Hierárquicos BSP (Binary Space Partitioning) para classificação de padrões e para extração de regras fuzzy em bases de dados. O objetivo do trabalho foi criar modelos específicos para classificação de registros a partir do modelo Neuro-Fuzzy Hierárquico BSP que é capaz de gerar sua própria estrutura automaticamente e extrair regras fuzzy, lingüisticamente interpretáveis, que explicam a estrutura dos dados. O princípio da tarefa de classificação de padrões é d
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21

Singh, Manjeet. "A Comparison of Rule Extraction Techniques with Emphasis on Heuristics for Imbalanced Datasets." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1282139633.

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22

GONG, RONGSHENG. "A KNOWLEDGE-BASED MODELING TOOL FOR CLASSIFICATION." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1153746991.

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23

Alfaries, Auhood. "Ontology learning for Semantic Web Services." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/4667.

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The expansion of Semantic Web Services is restricted by traditional ontology engineering methods. Manual ontology development is time consuming, expensive and a resource exhaustive task. Consequently, it is important to support ontology engineers by automating the ontology acquisition process to help deliver the Semantic Web vision. Existing Web Services offer an affluent source of domain knowledge for ontology engineers. Ontology learning can be seen as a plug-in in the Web Service ontology development process, which can be used by ontology engineers to develop and maintain an ontology that e
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24

Woodbury, Charla Jean. "Automatic Extraction From and Reasoning About Genealogical Records: A Prototype." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2335.

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Family history research on the web is increasing in popularity, and many competing genealogical websites host large amounts of data-rich, unstructured, primary genealogical records. It is labor-intensive, however, even after making these records machine-readable, for humans to make these records easily searchable. What we need are computer tools that can automatically produce indices and databases from these genealogical records and can automatically identify individuals and events, determine relationships, and put families together. We propose here a possible solution—specialized ontologies,
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25

Rangwala, Maimuna H. "Empirical investigation of decision tree extraction from neural networks." Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1151608193.

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26

Chen, Bernard. "Discovery and Extraction of Protein Sequence Motif Information that Transcends Protein Family Boundaries." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/42.

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Protein sequence motifs are gathering more and more attention in the field of sequence analysis. The recurring patterns have the potential to determine the conformation, function and activities of the proteins. In our work, we obtained protein sequence motifs which are universally conserved across protein family boundaries. Therefore, unlike most popular motif discovering algorithms, our input dataset is extremely large. As a result, an efficient technique is essential. We use two granular computing models, Fuzzy Improved K-means (FIK) and Fuzzy Greedy K-means (FGK), in order to efficient
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27

NEMBRINI, STEFANO. "Machine Learning Methods for Feature Selection and Rule Extraction in Genome-wide Association Studies (GWASs)." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/43581.

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Tree-based ensembles have recently gained popularity in genome-wide association studies (GWASs) because particularly suited to discover interactions and non-linear effects. In this context, it is particularly important to discover a small subset of single-nucleotide polymorphisms (SNPs) associated to the outcome of interest (feature selection phase), as well as to provide results that are interpretable (rule extraction phase). Using a dataset of 300K SNPs from a previous study, we propose a method for feature selction based on the use of Random Forests in a two-stage approach in order to se
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28

Galarraga, Del Prado Luis. "Extraction des règles d'association dans des bases de connaissances." Thesis, Paris, ENST, 2016. http://www.theses.fr/2016ENST0050/document.

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Le développement rapide des techniques d’extraction d’information a permis de construire de vastes bases de connaissances généralistes. Ces bases de connaissances contiennent des millions de faits portant sur des entités du monde réel, comme des personnes, des lieux, ou des organisations. Ces faits sont accessibles aux ordinateurs, et leur permettent ainsi de “comprendre” le monde réel. Ces bases trouvent donc de nombreuses applications, notamment pour la recherche d’information, le traitement de requêtes, et le raisonnement automatique. Les nombreuses informations contenues dans les bases de
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29

LANAS, ALBERTO IRIARTE. "NEURO-FUZZY BSP HIERARCHICAL SYSTEM FOR TIME FORECASTING AND FUZZY RULE EXTRACTION DOR DATA MINING APPLICATONS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2000. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7233@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Esta dissertação investiga a utilização de um sistema Neuro-Fuzzy Hierárquico para previsão de séries e a extração de regras fuzzy em aplicações de Mineração de Dados. O objetivo do trabalho foi estender o modelo Neuro- Fuzzy Hierárquico BSP para a classificação de registros e a previsão de séries temporais. O processo de classificação de registros no contexto de Mineração de Dados consiste na extração de regras de associação que melhor caracterizem, através de sua acurácia e abrangência, um determinado grupo de registros
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30

TEIXEIRA, TAIRO DOS PRAZERES. "A FUZZY INFERENCE SYSTEM WITH AUTOMATIC RULE EXTRACTION FOR GAS PATH DIAGNOSIS OF AVIATION GAS TURBINES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28405@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Turbinas a gás são equipamentos muito complexos e caros. No caso de falha em uma turbina, há obviamente perdas diretas, mas as indiretas são normalmente muito maiores, uma vez que tal equipamento é crítico para a operação de instalações industriais, aviões e veículos pesados. Portanto, é fundamental que turbinas a gás sejam providas com um sistema eficiente de monitoramento e diagnóstico. Isto é especialmente relevante no Brasil, cuja frota d
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31

Wang, Jingcheng. "A Rule-based Methodology and Feature-based Methodology for Effect Relation Extraction in Chinese Unstructured Text." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14152.

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The Chinese language differs significantly from English, both in lexical representation and grammatical structure. These differences lead to problems in the Chinese NLP, such as word segmentation and flexible syntactic structure. Many conventional methods and approaches in Natural Language Processing (NLP) based on English text are shown to be ineffective when attending to these language specific problems in late-started Chinese NLP. Relation Extraction is an area under NLP, looking to identify semantic relationships between entities in the text. The term “Effect Relation” is introduced in th
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TEMBE, WAIBHAV DEEPAK. "PATTERN EXTRACTION USING A CONTEXT DEPENDENT MEASURE OF DIVERGENCE AND ITS VALIDATION." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin994882030.

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33

Martínez, de la Mora Daniela 1983. "The Universality of perceptual and linguistic constraints in the extraction of rule-like patterns : a cross-species comparison." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/113604.

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Studies have shown that linguistic and perceptual constraints are important for speech processing. First, rule-like structures are more easily learned over vowels than over consonants. Second, sequences varying in pitch and duration are grouped following the Iambic – Trochaic Law (ITL). In this research, I investigated the origins of these linguistic and perceptual constraints. My aim was to test if vowels’ acoustic saliency was the reason why they are the preferred target for abstract computations, and to explore the extent to which the principles of the ITL come from evolutionary her
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34

Diez, Constantin [Verfasser]. "Process for Extraction of Knowledge from Crash Simulations by means of Dimensionality Reduction and Rule Mining / Constantin Diez." Wuppertal : Universitätsbibliothek Wuppertal, 2019. http://d-nb.info/1182555063/34.

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35

Samuel, Jarvie John. "Elicitation of Protein-Protein Interactions from Biomedical Literature Using Association Rule Discovery." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc30508/.

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Extracting information from a stack of data is a tedious task and the scenario is no different in proteomics. Volumes of research papers are published about study of various proteins in several species, their interactions with other proteins and identification of protein(s) as possible biomarker in causing diseases. It is a challenging task for biologists to keep track of these developments manually by reading through the literatures. Several tools have been developed by computer linguists to assist identification, extraction and hypotheses generation of proteins and protein-protein interactio
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36

Galárraga, Del Prado Luis. "Extraction des règles d'association dans des bases de connaissances." Electronic Thesis or Diss., Paris, ENST, 2016. http://www.theses.fr/2016ENST0050.

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Le développement rapide des techniques d’extraction d’information a permis de construire de vastes bases de connaissances généralistes. Ces bases de connaissances contiennent des millions de faits portant sur des entités du monde réel, comme des personnes, des lieux, ou des organisations. Ces faits sont accessibles aux ordinateurs, et leur permettent ainsi de “comprendre” le monde réel. Ces bases trouvent donc de nombreuses applications, notamment pour la recherche d’information, le traitement de requêtes, et le raisonnement automatique. Les nombreuses informations contenues dans les bases de
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37

Webster, Alan Charles. "Land expropriation and labour extraction under Cape colonial rule : the war of 1835 and the "emancipation" of the Fingo." Thesis, Rhodes University, 1991. http://hdl.handle.net/10962/d1002425.

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The interpretations of the war of 1835 and the identity of the Fingo that were presented by the English settlers, have remained the mainstays of all subsequent histories. They asserted that the war of 1835 was the fault purely of 'Kaffir' aggression, that it was controlled by Hintza, the paramount chief, and that the ensuing hostilities were justifiable colonial defence and punishment of the Africans. The arrival of the Fingo in the Colony, it was claimed, was unconnected with the war. It was alleged that the seventeen thousand Fingo brought into the Colony in May 1835 were all Natal refugees
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38

Klügl, Peter [Verfasser], Frank [Gutachter] Puppe, Andreas [Gutachter] Dengel, and Ulrich [Gutachter] Furbach. "Context-specific Consistencies in Information Extraction: Rule-based and Probabilistic Approaches / Peter Klügl. Gutachter: Frank Puppe ; Andreas Dengel ; Ulrich Furbach." Würzburg : Würzburg University Press, 2015. http://d-nb.info/1111508453/34.

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39

Kane, Mouhamadou bamba. "Extraction et sélection de motifs émergents minimaux : application à la chémoinformatique." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC223/document.

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La découverte de motifs est une tâche importante en fouille de données. Cemémoire traite de l’extraction des motifs émergents minimaux. Nous proposons une nouvelleméthode efficace qui permet d’extraire les motifs émergents minimaux sans ou avec contraintede support ; contrairement aux méthodes existantes qui extraient généralement les motifs émergentsminimaux les plus supportés, au risque de passer à côté de motifs très intéressants maispeu supportés par les données. De plus, notre méthode prend en compte l’absence d’attributqui apporte une nouvelle connaissance intéressante.En considérant les
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40

König, Rikard. "Enhancing genetic programming for predictive modeling." Doctoral thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3689.

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<p>Avhandling för teknologie doktorsexamen i datavetenskap, som kommer att försvaras offentligt tisdagen den 11 mars 2014 kl. 13.15, M404, Högskolan i Borås. Opponent: docent Niklas Lavesson, Blekinge Tekniska Högskola, Karlskrona.</p>
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Bader, Sebastian. "Neural-Symbolic Integration." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-25468.

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In this thesis, we discuss different techniques to bridge the gap between two different approaches to artificial intelligence: the symbolic and the connectionist paradigm. Both approaches have quite contrasting advantages and disadvantages. Research in the area of neural-symbolic integration aims at bridging the gap between them. Starting from a human readable logic program, we construct connectionist systems, which behave equivalently. Afterwards, those systems can be trained, and later the refined knowledge be extracted.
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Hayward, Ross. "Analytic and inductive learning in an efficient connectionist rule-based reasoning system." Thesis, Queensland University of Technology, 2001.

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43

Saxena, Isha. "Information extraction and representation from free text reports Isha Saxena." Master's thesis, Universidade de Évora, 2021. http://hdl.handle.net/10174/29323.

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The need for extracting specific information has increased drastically with the boost in digital-born documents. These documents majorly comprise of free text from which structured information can be extracted. The sources include, customer review reports, patient records, financial and legal documents, etc. The needs and applications for extracting specific information from free text are growing every moment, and new researches are emerging to mine contextual information in a way that is both highly efficient and convenient in its usage. This thesis work address to the problem of extracting s
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Liu, Pengyu. "Extracting Rules from Trained Machine Learning Models with Applications in Bioinformatics." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/264678.

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京都大学<br>新制・課程博士<br>博士(情報学)<br>甲第23397号<br>情博第766号<br>新制||情||131(附属図書館)<br>京都大学大学院情報学研究科知能情報学専攻<br>(主査)教授 阿久津 達也, 教授 山本 章博, 教授 鹿島 久嗣<br>学位規則第4条第1項該当<br>Doctor of Informatics<br>Kyoto University<br>DFAM
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Du, Rand Marlie. "High pressure fluid phase equilibria." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51789.

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Thesis (MScEng)--University of Stellenbosch, 2000.<br>ENGLISH ABSTRACT: Supercritical extraction is being investigated as a possible alternative to the processes currently used in the fractionation of paraffinic waxes. By removing the lighter carbon fractions from the wax, the wax hardness will be improved and its melting temperature range reduced, hence improving the performance of the wax product in certain applications. In order to evaluate and operate such an extraction process optimally, it is necessary to have a thermodynamic model that accurately represents the process system. Th
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Johansson, Ulf. "Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach." Doctoral thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8881.

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47

Asbayou, Omar. "L'identification des entités nommées en arabe en vue de leur extraction et classification automatiques : la construction d’un système à base de règles syntactico-sémantique." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE2136.

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Cette thèse explique et présente notre démarche de la réalisation d’un système à base de règles de reconnaissance et de classification automatique des EN en arabe. C’est un travail qui implique deux disciplines : la linguistique et l’informatique. L’outil informatique et les règles la linguistiques s’accouplent pour donner naissance à une nouvelle discipline ; celle de « traitement automatique des langues », qui opère sur des niveaux différents (morphosyntaxique, syntaxique, sémantique, syntactico-sémantique etc.). Nous avons donc, dans ce qui nous concerne, mis en œuvre des informations et rè
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48

Bianchi, Rodrigo Elias. "Extração de conhecimento simbólico em técnicas de aprendizado de máquina caixa-preta por similaridade de rankings." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08062009-103951/.

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Abstract:
Técnicas de Aprendizado de Máquina não-simbólicas, como Redes Neurais Artificiais, Máquinas de Vetores de Suporte e combinação de classificadores têm mostrado um bom desempenho quando utilizadas para análise de dados. A grande limitação dessas técnicas é a falta de compreensibilidade do conhecimento armazenado em suas estruturas internas. Esta Tese apresenta uma pesquisa realizada sobre métodos de extração de representações compreensíveis do conhecimento armazenado nas estruturas internas dessas técnicas não-simbólicas, aqui chamadas de caixa preta, durante seu processo de aprendizado. A princ
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49

Valenta, Jan. "Automatické ladění vah pravidlových bází znalostí." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-233507.

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This dissertation thesis introduces new methods of automated knowledge-base creation and tuning in information and expert systems. The thesis is divided in the two following parts. The first part is focused on the legacy expert system NPS32 developed at the Faculty of Electrical Engineering and Communication, Brno University of Technology. The mathematical base of the system is expression of the rule uncertainty using two values. Thus, it extends information capability of the knowledge-base by values of the absence of the information and conflict in the knowledge-base. The expert system has be
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50

Hadimli, Kerem. "Processing Turkish Radiology Reports." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613280/index.pdf.

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Radiology departments utilize various visualization techniques of patients&rsquo<br>bodies, and narrative free text reports describing the findings in these visualizations are written by medical doctors. The information within these narrative reports is required to be extracted for medical information systems. Turkish is an highly agglutinative language and this poses problems in information retrieval and extraction from Turkish free texts. In this thesis one rule-based and one data-driven alternate methods for information retrieval and structured information extraction from Turkish radiology
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