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المحتوى المقدم من New Books Network and New Books. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة New Books Network and New Books أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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Situate Your Research Focus inside a Wider-Reaching Direction

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Manage episode 439999995 series 2421437
المحتوى المقدم من New Books Network and New Books. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة New Books Network and New Books أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

Listen to this interview of Javier Cámara, Associate Professor, Department of Computer Science, University of Málaga, Spain. We talk about the paper Cámara et al. Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems.

Javier Cámara : "Yes, it had been an option, at one point during revising, to have the preliminaries up in the paper before the overview of our approach was presented. However, we felt that presenting the preliminaries after we have presented the bird's eye view of our approach was going to provide our reader with a rationale for why each element is described and explained there. We wouldn't have established that sort of rationale if we'd presented those elements earlier, or to establish that, we would have needed to repeat quite a lot in the text."

Link to Cámara et al. Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems

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Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

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848 حلقات

Artwork
iconمشاركة
 
Manage episode 439999995 series 2421437
المحتوى المقدم من New Books Network and New Books. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة New Books Network and New Books أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

Listen to this interview of Javier Cámara, Associate Professor, Department of Computer Science, University of Málaga, Spain. We talk about the paper Cámara et al. Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems.

Javier Cámara : "Yes, it had been an option, at one point during revising, to have the preliminaries up in the paper before the overview of our approach was presented. However, we felt that presenting the preliminaries after we have presented the bird's eye view of our approach was going to provide our reader with a rationale for why each element is described and explained there. We wouldn't have established that sort of rationale if we'd presented those elements earlier, or to establish that, we would have needed to repeat quite a lot in the text."

Link to Cámara et al. Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems

Learn more about your ad choices. Visit megaphone.fm/adchoices

Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

  continue reading

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