Statistics

Authors and titles for August 2021

[601] arXiv:2108.13329 (cross-list from quant-ph) [pdf, html, other]

Title: On the effects of biased quantum random numbers on the initialization of artificial neural networks

Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski

Comments: 26 pages, 12 figures, 3 tables

Journal-ref: Mach Learn (2024)

Subjects: Quantum Physics (quant-ph); Machine Learning (stat.ML)

[602] arXiv:2108.13367 (cross-list from cs.LG) [pdf, other]

Title: Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm

S.M Mehedi Zaman, Wasay Mahmood Qureshi, Md. Mohsin Sarker Raihan, Ocean Monjur, Abdullah Bin Shams

Comments: This article has been submitted for publication in Biomedical Physics & Engineering Express

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Biomolecules (q-bio.BM); Machine Learning (stat.ML)

[603] arXiv:2108.13387 (cross-list from cs.LG) [pdf, other]

Title: Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms

Laboni Akter, Nasrin Akhter

Comments: This paper has been published in International Conference on Big Data, IoT and Machine Learning 2021 (BIM 2021)

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

[604] arXiv:2108.13491 (cross-list from astro-ph.GA) [pdf, other]

Title: Bayesian Inference of Globular Cluster Properties Using Distribution Functions

Gwendolyn M. Eadie, Jeremy J. Webb, Jeffrey S. Rosenthal

Comments: submitted to ApJ; 21 pages, 11 figures

Subjects: Astrophysics of Galaxies (astro-ph.GA); Applications (stat.AP); Methodology (stat.ME)

[605] arXiv:2108.13570 (cross-list from cs.LG) [pdf, other]

Title: Fast Multi-label Learning

Xiuwen Gong, Dong Yuan, Wei Bao

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[606] arXiv:2108.13628 (cross-list from cs.LG) [pdf, other]

Title: Learning Optimal Prescriptive Trees from Observational Data

Nathanael Jo, Sina Aghaei, Andrés Gómez, Phebe Vayanos

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY); Machine Learning (stat.ML)

[607] arXiv:2108.13637 (cross-list from cs.LG) [pdf, other]

Title: When are Deep Networks really better than Decision Forests at small sample sizes, and how?

Haoyin Xu, Kaleab A. Kinfu, Will LeVine, Sambit Panda, Jayanta Dey, Michael Ainsworth, Yu-Chung Peng, Madi Kusmanov, Florian Engert, Christopher M. White, Joshua T. Vogelstein, Carey E. Priebe

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neurons and Cognition (q-bio.NC); Machine Learning (stat.ML)

[608] arXiv:2108.13810 (cross-list from cs.LG) [pdf, other]

Title: Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations

Shameem A. Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas

Journal-ref: Asian Conference on Machine Learning 2021

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[609] arXiv:2108.13941 (cross-list from cs.LG) [pdf, other]

Title: Bubblewrap: Online tiling and real-time flow prediction on neural manifolds

Anne Draelos, Pranjal Gupta, Na Young Jun, Chaichontat Sriworarat, John Pearson

Comments: Version of the work appearing in NeurIPS 2021

Subjects: Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC); Machine Learning (stat.ML)