Results 21 to 30 of about 3,609,102 (305)
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice [PDF]
Neurocomputing, 2020 Machine learning algorithms have been used widely in various applications and areas. To fit a machine learning model into different problems, its hyper-parameters must be tuned. Selecting the best hyper-parameter configuration for machine learning models
Li Yang, A. Shami
semanticscholar +1 more source
HellaSwag: Can a Machine Really Finish Your Sentence? [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 Recent work by Zellers et al. (2018) introduced a new task of commonsense natural language inference: given an event description such as “A woman sits at a piano,” a machine must select the most likely followup: “She sets her fingers on the keys.” With ...
Rowan Zellers +4 more
semanticscholar +1 more source
From Waste to Worth Management: A Comprehensive Intelligent Approach to Resource Utilization and Waste Minimization [PDF]
E3S Web of Conferences, 2023 In a period characterised by increasing apprehensions about the environment and limited resources, the need to shift from a linear and inefficient model to a circular and sustainable one is of utmost importance.
Sharma Neha +6 more
doaj +1 more source
Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites
IEEE Access, 2022 Phishing is a cyber attack that tricks the online users into revealing sensitive information with a fake website imitating a legitimate website. The attackers with stolen credentials not only use them for the targeted website but also can be used for ...
Lakshmana Rao Kalabarige +3 more
doaj +1 more source
Information, 2022 Class imbalance is one of the significant challenges in classification problems. The uneven distribution of data samples in different classes may occur due to human error, improper/unguided collection of data samples, etc.
Subhashree Rout +3 more
doaj +1 more source
Delay Analysis of Network Architectures for Machine-to-Machine Communications in LTE System [PDF]
, 2014 Machine-to-machine communications has emerged to provide autonomic communications for a wide variety of intelligentservices and applications. Among different communication technologies available for connecting machines, cellular-basedsystems have gained ...
Iraji, Sassan +2 more
core +1 more source
Machine-to-Machine Communications
, 2013 This chapter presents the ongoing machine-to-machine (M2M) communication model and reviews the expected services, strengths, and limitations of these systems, showing what industry can use from this M2M paradigm.
Bourgeau, Thomas +2 more
openaire +3 more sources
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches [PDF]
SSST@EMNLP, 2014 Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks. The neural machine translation models often consist of an encoder and a decoder.
Kyunghyun Cho +3 more
semanticscholar +1 more source
Optimization Methods for Large-Scale Machine Learning [PDF]
SIAM Review, 2016 This paper provides a review and commentary on the past, present, and future of numerical optimization algorithms in the context of machine learning applications.
L. Bottou, Frank E. Curtis, J. Nocedal
semanticscholar +1 more source
Enabling stream processing for people-centric IoT based on the fog computing paradigm [PDF]
, 2017 The world of machine-to-machine (M2M) communication is gradually moving from vertical single purpose solutions to multi-purpose and collaborative applications interacting across industry verticals, organizations and people - A world of Internet of Things
Akrivopoulos, Orestis +3 more
core +1 more source