Abstract
Representation is important in machine-based pattern recognition, AI, and machine learning. We need to represent states and state transitions appropriately in AI-based problem-solving. Similarly, in clustering and classification, we need to represent the data points, clusters, and classes.
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Murty, M.N., Biswas, A. (2019). Representation. In: Centrality and Diversity in Search. SpringerBriefs in Intelligent Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-24713-3_3
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DOI: https://doi.org/10.1007/978-3-030-24713-3_3
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