Results 21 to 30 of about 12,738,743 (318)
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network
Algorithms, 2022 It is well known that biomedical imaging analysis plays a crucial role in the healthcare sector and produces a huge quantity of data. These data can be exploited to study diseases and their evolution in a deeper way or to predict their onsets.
Giorgia Franchini +4 more
doaj +1 more source
No Free Lunch for Early Stopping [PDF]
Neural Computation, 1999 We show that with a uniform prior on models having the same training error, early stopping at some fixed training error above the training error minimum results in an increase in the expected generalization error.
Zehra Cataltepe +2 more
openaire +5 more sources
Estimation of Building Construction Cost Using Artificial Neural Networks [PDF]
Journal of Soft Computing in Civil Engineering, 2019 The cost estimation of the building construction projects at initial stages with a higher degree of accuracy plays a vital role in the success of every construction project.
Viren Chandanshive, Ajay Kambekar
doaj +1 more source
Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting [PDF]
Neural Networks, 2023 In this work we approach attractor neural networks from a machine learning perspective: we look for optimal network parameters by applying a gradient descent over a regularized loss function. Within this framework, the optimal neuron-interaction matrices
Elena Agliari +3 more
semanticscholar +1 more source
Problems of stopping trials early [PDF]
BMJ, 2012 When interim analyses of randomised trials suggest large beneficial treatment effects, investigators sometimes terminate trials earlier than planned.
Guyatt, G +4 more
openaire +3 more sources
Conformal inference is (almost) free for neural networks trained with early stopping [PDF]
International Conference on Machine Learning, 2023 Early stopping based on hold-out data is a popular regularization technique designed to mitigate overfitting and increase the predictive accuracy of neural networks.
Ziyi Liang, Yan-Fei Zhou, Matteo Sesia
semanticscholar +1 more source
Early stopping of clinical trials [PDF]
Breast Cancer Research, 2005 Early stopping of clinical trials in favour of a new treatment creates ethical and scientific difficulties, which are different from those associated with early stopping due to toxicity or futility. Two major breast cancer trials have recently taken such a decision, and the problem is relevant for several ongoing trials.
Cuzick, Jack +2 more
openaire +2 more sources
Remote Sensing, 2022 Phytoplankton communities, which can be easily observed by optical sensors deployed on various types of platforms over diverse temporal and spatial scales, are crucial to marine ecosystems and biogeochemical cycles, and accurate pigment concentrations ...
Jing Teng +3 more
doaj +1 more source
Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning [PDF]
arXiv.org, 2023 In this paper, we introduce the Instruction Following Score (IFS), a metric that detects language models' ability to follow instructions. The metric has a dual purpose. First, IFS can be used to distinguish between base and instruct models.
Waseem AlShikh +6 more
semanticscholar +1 more source
Stopping manoeuvre of high speed vessels fitted with screw and waterjet propulsion [PDF]
, 2009 Concern about the increase in high-speed vessel traffic necessitates steps to bring out safety guidelines in order to regulate and improve their manoeuvrability.
Krishnankutty, P., Varyani, K.
core +3 more sources