Machine Learning at Microsoft with ML.NET-Reference-Cited by-同舟云学术

Machine Learning at Microsoft with ML.NET

Published:2019-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
language:
Short-container-title:

Author:

Ahmed Zeeshan¹,Amizadeh Saeed¹,Bilenko Mikhail²,Carr Rogan¹,Chin Wei-Sheng¹,Dekel Yael¹,Dupre Xavier¹,Eksarevskiy Vadim¹,Filipi Senja¹,Finley Tom¹,Goswami Abhishek¹,Hoover Monte¹,Inglis Scott¹,Interlandi Matteo¹,Kazmi Najeeb¹,Krivosheev Gleb¹,Luferenko Pete¹,Matantsev Ivan¹,Matusevych Sergiy¹,Moradi Shahab¹,Nazirov Gani¹,Ormont Justin¹,Oshri Gal¹,Pagnoni Artidoro¹,Parmar Jignesh¹,Roy Prabhat¹,Siddiqui Mohammad Zeeshan¹,Weimer Markus¹,Zahirazami Shauheen¹,Zhu Yiwen¹

Affiliation:

1. Microsoft, Redmond, WA, USA

2. Yandex, Moscow, Russian Fed.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330667

Reference38 articles.

1. Scalable training ofL1-regularized log-linear models

2. Boost. Python. 2019. http://wiki.python.org/moi/boost.python. (2019). Boost. Python. 2019. http://wiki.python.org/moi/boost.python. (2019).

3. Caffe2. 2018. http://caffe2.ai/. (2018). Caffe2. 2018. http://caffe2.ai/. (2018).

4. Criteo. 2014. Kaggle Challenge. (2014). http://labs.criteo.com/2014/02/kaggle-display-advertising-challenge-dataset/ Criteo. 2014. Kaggle Challenge. (2014). http://labs.criteo.com/2014/02/kaggle-display-advertising-challenge-dataset/

5. Joblib Documentation. 2018. http://media.readthedocs.org/pdf/joblib/latest/joblib.pdf . (2018). Joblib Documentation. 2018. http://media.readthedocs.org/pdf/joblib/latest/joblib.pdf . (2018).

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Diagnosis of Laryngitis and Cordectomy using Machine Learning with ML.Net and SVD;Proceedings of Data Analytics and Management;2024

2. Tree species classification on images from airborne mobile mapping using ML.NET;European Journal of Remote Sensing;2023-11-07

3. Pushing ML Predictions Into DBMSs;IEEE Transactions on Knowledge and Data Engineering;2023-10-01

4. Identifying immune infiltration by deep learning to assess the prognosis of patients with hepatocellular carcinoma;Journal of Cancer Research and Clinical Oncology;2023-07-14

5. Orfeon: An AIOps framework for the goal-driven operationalization of distributed analytical pipelines;Future Generation Computer Systems;2023-03