개강과 종강 사이

제목원제목 : "m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series"번역 : "m-TSNE: 고차원적 다변량 시계열 데이터의 시각화를 위한 프레임워크"논문 링크 : https://arxiv.org/abs/1708.07942GitHub 링크 : https://github.com/minhnguyen-cs/mtsne m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time SeriesMultivariate time series (MTS) have become increasingly common in healthcare domains where human ..

제목원제목 : Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and ANN Models번역 : Wavelet-PCA Denoising과 인공신경망 모델의 융합을 통한 동아시아 지수선물 예측논문 링크 : https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0156338 Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network ModelsThe motivation behind this research..

제목 원제목 : Deep Learning Framework for Financial Time Series using Stacked Autoencoders and LSTM 번역 : Stacked Autoencoder와 LSTM을 이용한 금융 시계열 딥러닝 프레임워크 논문 링크 : https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0180944 Github 링크 : https://github.com/timothyyu/wsae-lstm A deep learning framework for financial time series using stacked autoencoders and long-short term memory The applica..

제목 원제목 : AIAlpha: Using machine learning to predict stocks 번역 : AIAlpha: 머신러닝 기반 주가 예측 링크 : https://medium.com/engineer-quant/alphaai-using-machine-learning-to-predict-stocks-79c620f87e53 Github 링크 : https://github.com/VivekPa/AIAlpha VivekPa/AIAlpha Use unsupervised and supervised learning to predict stocks - VivekPa/AIAlpha github.com AIAlpha: Using machine learning to predict stocks Machine l..

제목 원제목 : Autoencoders for the compression of stock market time series 번역 : 주식시장 시계열 데이터의 축소를 위한 오토인코더 링크 : https://towardsdatascience.com/autoencoders-for-the-compression-of-stock-market-data-28e8c1a2da3e Autoencoders for the compression of stock market time series A Pythonic exploration of diverse neural-network autoencoders to reduce the dimensionality of Bitcoin price time series towardsdatas..