Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Hendrik Blockeel,Kristian Kersting,Filip Železný Conference pro

嫌恶

Meng Fang,Jie Yin,Xingquan Zhu Mehr oder weniger reflektierte Lernwiderstände mit defensiven Lerngründen werden insofern vom Autor als subjektiv sinnvolle Handlungsstrategien verstanden. Als lebenslang tätiger Praktiker erläutert der Autor, wie die Resultate der Studie für eine gute Praxis betrieblicher Grundbildung genutzt werden können.978-3-658-39746-3978-3-658-39747-0

reception

interpose

Learning Throttle Valve Control Using Policy Search, we employ a policy search RL approach, Pilco [2], to learn a throttle valve control policy. We adapt the Pilco algorithm, while taking into account the practical requirements and constraints for the controller. For evaluation, we employ the resulting algorithm to solve several control tasks in sim

Inkling

Model-Selection for Non-parametric Function Approximation in Continuous Control Problems: A Case Stues. However, for efficiency reasons, LWR is used with a limited sample-size, which leads to poor performance without careful tuning of LWR’s parameters. We therefore develop an efficient meta-learning procedure that performs online model-selection and tunes LWR’s parameters based on the Bellman erro

哀求

Knowledge Transfer for Multi-labeler Active Learning labeler to query. Experiments demonstrate that transferring knowledge across related domains can help select the labeler with the best expertise and thus significantly boost the active learning performance.

游行

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arthroplasty

0302-9743 p discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.978-3-642-40987-5978-3-642-40988-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

胰脏

慎重

Mohammad Gheshlaghi Azar,Alessandro Lazaric,Emma Brunskill