Results 121 to 130 of about 343,225 (391)
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning [PDF]
arXiv, 2022 Most existing pruning works are resource-intensive, requiring retraining or fine-tuning of the pruned models for accuracy. We propose a retraining-free pruning method based on hyperspherical learning and loss penalty terms. The proposed loss penalty term pushes some of the model weights far from zero, while the rest weight values are pushed near zero ...
arxiv
Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis
Advanced Science, EarlyView.This study explores the effectiveness of knowledge distillation (KD) for molecular property prediction using graph neural networks. By leveraging KD, student models achieve improved scalability and predictive accuracy across domain‐specific and cross‐domain molecular datasets.
Rahul Sheshanarayana, Fengqi You
wiley +1 more source
Softer Pruning, Incremental Regularization [PDF]
arXiv, 2020 Network pruning is widely used to compress Deep Neural Networks (DNNs). The Soft Filter Pruning (SFP) method zeroizes the pruned filters during training while updating them in the next training epoch. Thus the trained information of the pruned filters is completely dropped.
arxiv
Applied Economic Perspectives and Policy, EarlyView.Abstract We present an adjusted bid price mechanism that incorporates economic multiplier effects in public food procurement decision making. Under Input–Output model assumptions, the algorithm estimates enhanced tax revenues to state governments through multiplier effects associated with in‐state supplier purchasing.
Todd M. Schmit, Xiaoyan Liu
wiley +1 more source
Journal of Advanced Research, 2022 Introduction: Root pruning is commonly used to facilitate seedling transplantation for the restoration of degraded or damaged ecosystems. However, little is known about how root growth coordinates morphology, physiology and defense functions following ...
Zhipei Feng +4 more
doaj
Annals of Silvicultural Research, 2016 Pruning wild cherry (Prunus avium L.) is a common silvicultural practice carried out to produce valuable timber at a veneer wood quality. Sub-optimal pruning treatments can permit un-occluded pruning wounds to develop devaluing decay.
Jonathan Sheppard +3 more
doaj +1 more source
Labor shortages and farmer adaptation strategies
Applied Economic Perspectives and Policy, EarlyView.Abstract Labor shortages are a growing challenge for U.S. agricultural producers, but little is known about farmers' adaptation strategies. We estimate the statistical relationship between farm labor shortages and adaptation strategies among California farmers.
Myat Thida Win +2 more
wiley +1 more source
AgricultureIntelligent pruning technology is significant in reducing management costs and improving operational efficiency. In this study, a branch recognition and pruning point localization method was proposed for dormant walnut (Juglans regia L.) trees. First, 3D
Wei Zhu +3 more
doaj +1 more source
Risk Factors and Predictive Models for Sarcopenia in Older Adults
AGING MEDICINE, EarlyView.Independent risk factors for sarcopenia identified by Lasso regression and logistic regression in the study were BMI, prealbumin, albumin/globulin ratio (A/G ratio), serum creatinine, and phosphorus. These factors were used to construct a nomogram model and a decision tree model. Both models showed effectiveness in predicting sarcopenia in older adults,
Shiyuan Zhang +9 more
wiley +1 more source
Storage Capacity Diverges with Synaptic Efficiency in an Associative Memory Model with Synaptic Delay and Pruning [PDF]
, 2003 It is known that storage capacity per synapse increases by synaptic pruning in the case of a correlation-type associative memory model. However, the storage capacity of the entire network then decreases. To overcome this difficulty, we propose decreasing
Miyoshi, Seiji, Okada, Masato
core