Results 21 to 30 of about 414,531 (51)
The Tribes of Machine Learning and the Realm of Computer Architecture [PDF]
arXiv, 2020 Machine learning techniques have influenced the field of computer architecture like many other fields. This paper studies how the fundamental machine learning techniques can be applied towards computer architecture problems. We also provide a detailed survey of computer architecture research that employs different machine learning methods.
arxiv
, 2022 Many data have an underlying dependence on spatial location; it may be weather on the Earth, a simulation on a mesh, or a registered image. Yet this feature is rarely taken advantage of, and violates common assumptions made by many neural network layers,
Dryden, Nikoli, Hoefler, Torsten
core
Lecture Notes: Optimization for Machine Learning [PDF]
arXiv, 2019 Lecture notes on optimization for machine learning, derived from a course at Princeton University and tutorials given in MLSS, Buenos Aires, as well as Simons Foundation, Berkeley.
arxiv
Towards Modular Machine Learning Solution Development: Benefits and Trade-offs [PDF]
arXiv, 2023 Machine learning technologies have demonstrated immense capabilities in various domains. They play a key role in the success of modern businesses. However, adoption of machine learning technologies has a lot of untouched potential. Cost of developing custom machine learning solutions that solve unique business problems is a major inhibitor to far ...
arxiv
Minimax deviation strategies for machine learning and recognition with short learning samples [PDF]
arXiv, 2017 The article is devoted to the problem of small learning samples in machine learning. The flaws of maximum likelihood learning and minimax learning are looked into and the concept of minimax deviation learning is introduced that is free of those flaws.
arxiv
Private Machine Learning via Randomised Response [PDF]
arXiv, 2020 We introduce a general learning framework for private machine learning based on randomised response. Our assumption is that all actors are potentially adversarial and as such we trust only to release a single noisy version of an individual's datapoint.
arxiv
An Optimal Control View of Adversarial Machine Learning [PDF]
arXiv, 2018 I describe an optimal control view of adversarial machine learning, where the dynamical system is the machine learner, the input are adversarial actions, and the control costs are defined by the adversary's goals to do harm and be hard to detect. This view encompasses many types of adversarial machine learning, including test-item attacks, training ...
arxiv
Ten-year Survival Prediction for Breast Cancer Patients [PDF]
arXiv, 2019 This report assesses different machine learning approaches to 10-year survival prediction of breast cancer patients.
arxiv
Category Theory in Machine Learning [PDF]
arXiv, 2021 Over the past two decades machine learning has permeated almost every realm of technology. At the same time, many researchers have begun using category theory as a unifying language, facilitating communication between different scientific disciplines.
arxiv
Introduction to Machine Learning: Class Notes 67577 [PDF]
arXiv, 2009 Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).
arxiv