Tutorials at PPSN 2016
نویسندگان
چکیده
PPSN 2016 hosts a total number of 16 tutorials covering a broad range of current research in evolutionary computation. The tutorials range from introductory to advanced and specialized but can all be attended without prior requirements. All PPSN attendees are cordially invited to take this opportunity to learn about ongoing research activities
منابع مشابه
Investigating effects of computer-based grammar tutorials
This dissertation study examined a broad question of whether computer-based grammar tutorials are effective and welcome tools to review grammar for language learners by investigating effects of three different modes of such tutorials on learners’ knowledge and satisfaction. For this study, I developed experimental tutorials in three different modes (a static text with a voice-over narration, an...
متن کاملWhat is the best way for developers to learn new software tools? An empirical comparison between a text and a video tutorial
The better developers can learn software tools, the faster they can start using them and the more efficiently they can later work with them. Tutorials are supposed to help here. While in the early days of computing, mostly text tutorials were available, nowadays software developers can choose among a huge number of tutorials for almost any popular software tool. However, only little research wa...
متن کاملPeer-assisted learning: filling the gaps in basic science education for preclinical medical students.
In contrast to peer-assisted learning (PAL) in clinical training, there is scant literature on the efficacy of PAL during basic medical sciences teaching for preclinical students. A group of senior medical students aimed to design and deliver clinically oriented small-group tutorials after every module in the preclinical curriculum at a United Kingdom medical school. Twenty tutorials were deliv...
متن کاملWhat Does the Evolution Path Learn in CMA-ES?
The Covariance matrix adaptation evolution strategy (CMA-ES) evolves a multivariate Gaussian distribution for continuous optimization. The evolution path, which accumulates historical search direction in successive generations, plays a crucial role in the adaptation of covariance matrix. In this paper, we investigate what the evolution path approximates in the optimization procedure. We show th...
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تاریخ انتشار 2016