Model Selection for Gaussian Process Regression by Approximation Set Coding

التفاصيل البيبلوغرافية
العنوان: Model Selection for Gaussian Process Regression by Approximation Set Coding
المؤلفون: Fischer, Benjamin
بيانات النشر: ETH Zurich, 2016.
سنة النشر: 2016
مصطلحات موضوعية: BIOLOGICAL INFORMATICS AND COMPUTER APPLICATIONS IN BIOLOGY, 02 engineering and technology, 01 natural sciences, Life sciences, SUPERVISED LEARNING (ARTIFICIAL INTELLIGENCE), ÜBERWACHTES LERNEN (KÜNSTLICHE INTELLIGENZ), GAUSSIAN PROCESSES AND GAUSSIAN MEASURES (PROBABILITY THEORY), BIOLOGISCHE INFORMATIK UND COMPUTERANWENDUNG IN DER BIOLOGIE, Data processing, computer science, SYSTEMBIOLOGIE, 0103 physical sciences, SYSTEMS BIOLOGY, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, GAUSSSCHE PROZESSE UND GAUSSSCHE MASSE (WAHRSCHEINLICHKEITSRECHNUNG), 010303 astronomy & astrophysics
اللغة: English
DOI: 10.3929/ethz-a-010683157
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::883499fb9dd31fd80f6a37373c0a8c76
رقم الانضمام: edsair.doi...........883499fb9dd31fd80f6a37373c0a8c76
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.3929/ethz-a-010683157