Part of the book series:Lecture Notes in Electrical Engineering(LNEE, volume 1400) About this book This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various ...
MathAndScienceNotes Collections of news/articles on various topics including quant trading and machine learning. Some articles are from ycombinator message board and rediit algotrading forum 2016-03-11 19:13:00 2020-12-21 03:54:51 504.0 ✖️ ⭐x3 mlfinlab open source library maintained ...
Robust machine learning typically refers to the robustness of machine learning algorithms. For a machine learning algorithm to be considered robust, either the testing error has to be consistent with the training error, or the performance is stable after adding some noise to the dataset. This repo...
Aljabri M, Alhaidari F, Mohammad RM, Mirza S, Alhamed DH, Altamimi HS, Chrouf SM (2022b) An assessment of lexical, network, and content-based features for detecting malicious urls using machine learning and deep learning models. Comput Intell Neurosci 2022:1–14. https://doi.org/10.115...
Notes Code and datasets for our experiments are available at https://github.com/purushottamkar/rUCB. This value can be further improved by tuning the parameter. References Abbasi-Yadkori, Y., Pal, D., & Szepesvari, C. (2011). Improved algorithms for linear stochastic bandits. In ...
In this post, I have summarised 50 papers. After going through a paper, if I had the chance, I would write down a few notes and summarise the work in a couple of sentences. These are not meant as reviews – I’m not commenting on whether I think the paper is good or not. But ...
Introduction to Machine Learning Machine Learning problem types from the perspective of the feedback provided to the learning organ: Supervised: training is in the form of Reinforcement: training is in the form of occasional rewards to the learning system Unsupervised: no clear training is provided ...
In this post, I have summarised 50 papers. After going through a paper, if I had the chance, I would write down a few notes and summarise the work in a couple of sentences. These are not meant as reviews – I’m not commenting on whether I think the paper is good or not. But ...
Paper notes This repository contains my paper reading notes on deep learning and machine learning. It is inspired by Denny Britz and Daniel Takeshi. A minimalistic webpage generated with Github io can be found here. About me My name is Patrick Langechuan Liu. After about a decade of education...
(∼0.21%) phases. The machine learning-based approach, remarkably, exhibits substantially quicker inference times (∼5ms) in contrast to analytically derived DoA methods, which typically range from 100 ms to a few seconds. This underscores its practicality for real-time applications in radio ...