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

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Automating Layout Synthesis with Constructive Preference Elicitationends layouts to the user, and learns the user’s preferences by observing her improvements to the recommendations. We apply our system to two design tasks, furniture arrangement and space partitioning, and report promising quantitative and qualitative results on both. Code related to this paper is available at: ..

connoisseur

On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement Learningre to extract features from the sensor readings off the rack and devise a novel utility function that is used to control the A2C algorithm. Experiments show performance gains greater than 30% over the default policy for deterministic as well as random data workloads.

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寬容

Helping Your Docker Images to Spread Based on Explainable Modelsstimating the popularity of a given Docker image, and for understanding how to improve an image to increase its popularity. The results presented in this work can provide valuable insights to Docker developers, helping them in spreading their images. Code related to this paper is available at: ..

hematuria

978-3-030-10996-7Springer Nature Switzerland AG 2019

歪曲道理

Machine Learning and Knowledge Discovery in Databases978-3-030-10997-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

卜聞

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620494.jpg

BOGUS

https://doi.org/10.1007/978-3-030-10997-4artificial intelligence; bayesian networks; classification; data mining; Human-Computer Interaction (HCI

專心

Machine Learning and Knowledge Discovery in DatabasesEuropean Conference,

Presbycusis

Kapitel werden Eulers Beitr?ge zur Himmelsmechanik punktf?rmiger und ausgedehnter K?rper nach Inhalt und Entstehungschronologie beschrieben. Der umfangreiche Anhang besteht aus übersichtstabellen und deutschen übersetzungen einzelner Werke Eulers zur Himmelsmechanik..978-3-662-44331-6Series ISSN 2191-074X Series E-ISSN 2191-0758