ベイズ最適化によるハイパーパラメータ探索についてざっくりと解説しました。
今回紹介する内容の元となった論文
Bergstra, James, et al. "Algorithms for hyper-parameter optimization." 25th annual conference on neural information processing systems (NIPS 2011). Vol. 24. Neural Information Processing Systems Foundation, 2011.
https://hal.inria.fr/hal-00642998/
In this work, we introduce a new Markov operator associated with a digraph, which we refer to as a nonlinear Laplacian. Unlike previous Laplacians for digraphs, the nonlinear Laplacian does not rely on the stationary distribution of the random walk process and is well defined on digraphs that are not strongly connected. We show that the nonlinear Laplacian has nontrivial eigenvalues and give a Cheeger-like inequality, which relates the conductance of a digraph and the smallest non-zero eigenvalue of its nonlinear Laplacian. Finally, we apply the nonlinear Laplacian to the analysis of real-world networks and obtain encouraging results.
The document summarizes a presentation on machine learning methods for graph data and recent trends. It introduces graph data and common graph neural network (GNN) approaches, including Recurrent GNNs, Convolutional GNNs, Graph Autoencoders, Graph Adversarial Methods, and Spatial-Temporal GNNs. It then discusses the GNNExplainer method for explaining GNN predictions and concludes with an overview and outlook for future developments in the field.
cvpaper.challenge の Meta Study Group 発表スライド
cvpaper.challenge はコンピュータビジョン分野の今を映し、トレンドを創り出す挑戦です。論文サマリ・アイディア考案・議論・実装・論文投稿に取り組み、凡ゆる知識を共有します。2019の目標「トップ会議30+本投稿」「2回以上のトップ会議網羅的サーベイ」
http://xpaperchallenge.org/cv/
This document provides an overview of Ruby on Rails (RoR) including:
- RoR is a web application framework built using the Ruby programming language and follows the model-view-controller (MVC) pattern.
- It was created by David Heinemeier Hansson and is used to build database-backed web applications according to the conventions and principles of agile software development.
- Key components of RoR include Active Record (the ORM layer), Action Pack (containing Action Controller and Action View), and its implementation of RESTful design.
Cassandra is a decentralized, distributed database management system that provides high availability and scalability without a single point of failure. It uses a distributed hash table architecture and provides consistently fast performance even with billions of rows spread across clusters of standard servers. The document discusses Cassandra's data model, data types, APIs, and examples of companies using Cassandra including Digg, Twitter, Facebook, and Mahalo to handle large amounts of data and high query volumes at scale.