01 Structure of Scientific Papers - Introduction to Scientific Writing WS2021/22Database Systems (ADBS, WS) Architecture of ML Systems (AMLS, SS) Data Integration and Large-Scale Analysis (DIA, WS) Master Bachelor Data management from user/application perspective Distributed Data Manegold, Hannes Mühleisen, Mark Raasveldt: Progressive Indexes: Indexing for Interactive Data Analysis. PVLDB 12(13) 2019 #11.2 Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich: The Uncracked Making Learned Query Optimization Practical. SIGMOD 2021 #14.2 Guido Moerkotte, Thomas Neumann: Analysis of Two Existing and One New Dynamic Programming Algorithm for the Generation of Optimal Bushy Join0 码力 | 36 页 | 1.12 MB | 1 年前3
03 Experiments, Reproducibility, and Projects - Introduction to Scientific Writing WS2021/22Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach: Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches. RecSys 2019] 12 706.015 Introduction to Scientific JSON/XML Examples Reproducibility and RDM Name Target Link CK ML Systems http://ctuning.org CWL Analysis Workflows http://commonwl.org Popper Container Workflows https://github.com/ systemslab/popper0 码力 | 31 页 | 1.38 MB | 1 年前3
Google C++ Style Guideused pervasively in a large code base, it can consume as much as 20% of the parsing and semantic analysis time. Use streams only when they are the best tool for the job. This is typically the case when incorrectly use that interface now must explain how the macros formed the interface. Refactoring and analysis tools have a dramatically harder time updating the interface. As a consequence, we specifically0 码力 | 83 页 | 238.71 KB | 1 年前3
02 Scientific Reading and Writing - Introduction to Scientific Writing WS2021/22NOT to Do Accept if no time to review The Goldilocks Method (examples, proofs, theoretical analysis, experiments) If you can’t say something nasty … (ignore good parts, focus on weaknesses) Silent0 码力 | 26 页 | 613.57 KB | 1 年前3
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