[1712.01208] The Case for Learned Index Structures
Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not. In this exploratory research paper, we start from this premise and posit that all existing index structures can be
Tuning Your DBMS Automatically with Machine Learning | Amazon Web Services
AWS Machine Learning Blog Tuning Your DBMS Automatically with Machine Learning This is a guest post by Dana Van Aken, Andy Pavlo, and Geoff Gordon of Carnegie Mellon University. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. Database management systems (DBMSs) are the most important component of
機械学習と情報セキュリティ2016 - ももいろテクノロジー
この記事は「情報セキュリティ系論文紹介 Advent Calendar 2016」14日目の記事です。 近年、ディープラーニングと呼ばれる機械学習手法の進展もあいまって、ディープラーニングではない機械学習もそこそこの注目を集めている。 ここでは、2016年に公表された機械学習系の情報セキュリティ論文について、気になったものをまとめてみる。 discovRE: Efficient Cross-Architecture Identification of Bugs in Binary Code (NDSS 2016) Paper 命令数等の複数の数値指標を用いてk-Nearest Neighborによるフィルタリングを行った後、Maximum common subgraph（MCS）によるControl Flow Graphの類似度比較を行うことで、バイナリ（ファームウェア）から既知の脆弱性を
Machine Learning: The High Interest Credit Card of Technical Debt
Machine learning offers a fantastically powerful toolkit for building complex systems quickly. This paper argues that it is dangerous to think of these quick wins as coming for free. Using the framework of technical debt, we note that it is remarkably easy to incur massive ongoing maintenance costs at the system level when applying machine learning. The goal of this paper is highlight several mach
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Subgradient Methods
Rethinking LDA: Why Priors Matter
PerfEnforce Demonstration: Data Analytics with Performance Guarantees
Machine Learning: The High Interest Credit Card of Technical Debt