Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Ulf Brefeld,Edward Curry,Neil Hurley Conference proceedings 201

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A Practical Deep Online Ranking System in E-commerce Recommendationionized recommender system still remains challenging due to a massive collection of items, a huge number of online users, and requirements for recommendations to be responsive to user actions. In this work, we present our relevant, responsive, and scalable deep online ranking system (DORS) that we d

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Helping Your Docker Images to Spread Based on Explainable Modelsocker images are distributed in public registries, which also monitor their popularity. The popularity of an image impacts on its actual usage, and hence on the potential revenues for its developers. In this paper, we present a solution based on interpretable decision tree and regression trees for e

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ST-DenNetFus: A New Deep Learning Approach for Network Demand Predictioncan be very challenging as it is affected by many complex factors, including spatial dependencies, temporal dependencies, and external factors (such as regions’ functionality and crowd patterns as it will be shown in this paper). We propose a deep learning based approach called, ST-DenNetFus, to pre

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On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement Learningy, we train an on-policy and model-free policy gradient algorithm called the Advantage Actor-Critic (A2C). We deploy a dueling deep network architecture to extract features from the sensor readings off the rack and devise a novel utility function that is used to control the A2C algorithm. Experiment

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Automating Layout Synthesis with Constructive Preference Elicitationrrangement, space partitioning (e.g. subdividing a house into rooms), urban planning, and other design tasks. Computer-aided support systems are essential tools for architects and designers to produce custom, functional layouts. Existing systems, however, do not learn the designer’s preferences, and

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k.Zahlreiche Abbildungen aus den unpublizierten Originalmanu.Diese Gesamtdarstellung von Leonhard Eulers Arbeiten zur Himmelsmechanik zeigt, wie sich bei ihm mathematische Methoden und physikalische Prinzipien bei den Lösungen himmelsmechanischer Probleme entwickelten, sukzessive etablierten und sic

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Muhao Chen,Changping Meng,Gang Huang,Carlo Zaniolok.Zahlreiche Abbildungen aus den unpublizierten Originalmanu.Diese Gesamtdarstellung von Leonhard Eulers Arbeiten zur Himmelsmechanik zeigt, wie sich bei ihm mathematische Methoden und physikalische Prinzipien bei den Lösungen himmelsmechanischer Probleme entwickelten, sukzessive etablierten und sic

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