Machine Learning

Authors and titles for November 2019

[1201] arXiv:1911.13252 (cross-list from cs.LG) [cn-pdf, pdf, other]

Title: An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks Show Chinese title

Title: 一种优化且节能的非迭代训练循环神经网络并行实现

Julia El Zini, Yara Rizk, Mariette Awad

Subjects: Machine Learning (cs.LG) ; Distributed, Parallel, and Cluster Computing (cs.DC) ; Machine Learning (stat.ML)

[1202] arXiv:1911.13254 (cross-list from cs.SD) [cn-pdf, pdf, other]

Title: Music Source Separation in the Waveform Domain Show Chinese title

Title: 波形域中的音乐源分离

Alexandre Défossez (FAIR, SIERRA, PSL), Nicolas Usunier (FAIR), Léon Bottou (FAIR), Francis Bach (DI-ENS, PSL, SIERRA)

Subjects: Sound (cs.SD) ; Machine Learning (cs.LG) ; Audio and Speech Processing (eess.AS) ; Machine Learning (stat.ML)

[1203] arXiv:1911.13259 (cross-list from eess.IV) [cn-pdf, pdf, other]

Title: Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer Show Chinese title

Title: Flatsomatic：一种用于癌症体细胞突变图谱压缩的方法

Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John W Cassidy, Nirmesh Patel, Harry W Clifford

Comments: Learning Meaningful Representations of Life Workshop at NeurIPS 2019. arXiv admin note: substantial text overlap with arXiv:1911.09008

Subjects: Image and Video Processing (eess.IV) ; Machine Learning (cs.LG) ; Genomics (q-bio.GN) ; Machine Learning (stat.ML)

[1204] arXiv:1911.13268 (cross-list from cs.DS) [cn-pdf, pdf, other]

Title: Adversarially Robust Low Dimensional Representations Show Chinese title

Title: 对抗鲁棒的低维表示

Pranjal Awasthi, Vaggos Chatziafratis, Xue Chen, Aravindan Vijayaraghavan

Comments: 68 pages including references

Subjects: Data Structures and Algorithms (cs.DS) ; Machine Learning (cs.LG) ; Statistics Theory (math.ST) ; Machine Learning (stat.ML)

[1205] arXiv:1911.13270 (cross-list from cs.LG) [cn-pdf, pdf, other]

Title: Transflow Learning: Repurposing Flow Models Without Retraining Show Chinese title

Title: Transflow学习：无需重新训练的流模型再利用

Andrew Gambardella, Atılım Güneş Baydin, Philip H. S. Torr

Subjects: Machine Learning (cs.LG) ; Computer Vision and Pattern Recognition (cs.CV) ; Machine Learning (stat.ML)

[1206] arXiv:1911.13288 (cross-list from cs.LG) [cn-pdf, pdf, other]

Title: Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 Show Chinese title

Title: 深度学习在金融时间序列预测中的应用：2005-2019年系统文献综述

Omer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Ozbayoglu

Comments: 13 figures, 13 tables, submitted to Applied Soft Computing

Subjects: Machine Learning (cs.LG) ; Computational Finance (q-fin.CP) ; Machine Learning (stat.ML)

[1207] arXiv:1911.13300 (cross-list from q-fin.ST) [cn-pdf, pdf, other]

Title: Refinements of Barndorff-Nielsen and Shephard model: an analysis of crude oil price with machine learning Show Chinese title

Title: 巴尔德诺夫-尼尔森和谢泼德模型的改进：基于机器学习的原油价格分析

Indranil SenGupta, William Nganje, Erik Hanson

Journal-ref: Annals of Data Science, 2021

Subjects: Statistical Finance (q-fin.ST) ; Mathematical Finance (q-fin.MF) ; Machine Learning (stat.ML)