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251 |
A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature
Enthalten in Journal of cheminformatics Bd. 7, 19.1.2015, Nr. 1, date:12.2015: 1-6
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252 |
A Comprehensive Classification Approach by Integrating Principal Component Analysis and Support Vector Machines for Advanced Intrusion Detection Systems
Enthalten in SN Computer Science Bd. 5, 28.10.2024, Nr. 8, date:12.2024: 1-10
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253 |
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
Enthalten in BMC bioinformatics Bd. 9, 22.7.2008, Nr. 1, date:12.2008: 1-10
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254 |
A DC programming approach for feature selection in support vector machines learning
Enthalten in Advances in data analysis and classification Bd. 2, 23.11.2008, Nr. 3, date:12.2008: 259-278
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255 |
A framework for enterprise assessment of carbon performance using support vector machines
Enthalten in Soft computing Bd. 28, 28.11.2023, Nr. 1, date:1.2024: 641-660
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256 |
A Medical Decision Support System Based on Support Vector Machines and the Genetic Algorithm for the Evaluation of Fetal Well-Being
Enthalten in Journal of medical systems Bd. 37, 16.1.2013, Nr. 2, date:4.2013: 1-9
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257 |
A new pairwise kernel for biological network inference with support vector machines
Enthalten in BMC bioinformatics Bd. 8, 21.12.2007, Nr. 10, date:12.2007: 1-10
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258 |
A Novel Framework for Optimizing the Prediction of Areas Favorable to Porphyry-Cu Mineralization: Combination of Ant Colony and Grid Search Optimization Algorithms with Support Vector Machines
Enthalten in Natural resources research Bd. 34, 11.1.2025, Nr. 2, date:4.2025: 703-729
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259 |
A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
Enthalten in Environmental earth sciences Bd. 76, 6.10.2017, Nr. 19, date:10.2017: 1-19
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260 |
A projection and contraction method for circular cone programming support vector machines
Enthalten in International journal of machine learning and cybernetics Bd. 12, 25.6.2021, Nr. 9, date:9.2021: 2733-2746
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