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Titlebook: Machine Learning, Optimization, and Data Science; 4th International Co Giuseppe Nicosia,Panos Pardalos,Vincenzo Sciacca Conference proceedi

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REFINE: Representation Learning from Diffusion Events,sks such as link prediction and node classification. However, most of the existing studies rely on the knowledge of the complete network structure. Very often this is not the case, unfortunately: the network is either partially or completely hidden. For example, due to privacy and competitive market
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Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profilinelies on several already known classification methods. We make use of the model for a survival analysis of tumor and immune subtype from Diffuse Large B-cell Lymphoma patients. Experimental analyses show good level of accuracy in the detection of Cell-of-Origin of diseases.
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Designing Ships Using Constrained Multi-objective Efficient Global Optimization,lly, ship designs are optimized in an iterative design process. However, this approach is very time consuming and is likely to get stuck in local optima. Not only does this optimization problem have complex constraints, it also consists of multiple objectives like resistance, stability and cost..Thi
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Average Performance Analysis of the Stochastic Gradient Method for Online PCA,nline approach for selecting the learning rate. Simulation experiments confirm the practical relevance of the plain stochastic gradient approach and that drastic improvements can be achieved by learning the learning rate.
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he dog in the fable loses its food, but this loss gives it food for thought. A fable, as the word implies, is quite literally the product of fabulation. The chapter uses Aesop’s fable as the basis from which to unfold a theoretical account of transformative experience as the crucible for the emergen
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