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A comparative study of genetic sequence classification algorithms., , , , and . NNSP, page 57-66. IEEE, (2002)Mutual Learning in Optimization., , and . SMC, page 492-497. IEEE, (2022)User modeling with limited data: Application to stakeholder-driven watershed design., , and . SMC, page 3855-3860. IEEE, (2014)Multi-way association extraction and visualization from biological text documents using hyper-graphs: Applications to genetic association studies for diseases., , and . Artif. Intell. Medicine, 49 (3): 145-154 (2010)Monitoring Cyber Peer-Led Team Learning: A Multimodal Human-in-the-loop Approach., , , and . HITLAML, volume 3524 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Hypotheses Generation Pertaining to Ayurveda Using Automated Vocabulary Generation and Transitive Text Mining., and . NBiS, page 200-205. IEEE Computer Society, (2009)Feature Decomposition Architectures for Neural Networks: Algorithms, Error Bounds, and Applications., , and . Int. J. Neural Syst., 12 (1): 69-81 (2002)Multi-agent Adaptive Dynamic Programming., and . MICAI, volume 1793 of Lecture Notes in Computer Science, page 574-585. Springer, (2000)Interactive Watershed Optimization in the Presence of Spatially-varying and Uncertain Stakeholder Preferences., , and . ICHMS, page 1-6. IEEE, (2020)A learning approach to the database selection problem in the presence of dynamic user interests and database contents., and . ASIST, volume 41 of Proc. Assoc. Inf. Sci. Technol., page 239-248. Wiley, (2004)