Results 111 to 120 of about 9,950,038 (297)
Information-Theoretic Distribution Test with Application to Normality [PDF]
We derive general distribution tests based on the method of Maximum Entropy density. The proposed tests are derived from maximizing the differential entropy subject to moment constraints.
Thanasis Stengos, Ximing Wu
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FlGan: GAN-Based Unbiased Federated Learning Under Non-IID Settings
IEEE Transactions on Knowledge and Data EngineeringFederated Learning (FL) suffers from low convergence and significant accuracy loss due to local biases caused by non-Independent and Identically Distributed (non-IID) data.
Zhuo Ma +6 more
semanticscholar +1 more source
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Results in EngineeringThe advancement of autonomous vehicle technology relies heavily on sophisticated machine-learning models that facilitate real-time object detection and classification.
K. Vinoth, P. Sasikumar
doaj +1 more source
Byzantine-robust federated learning over Non-IID data
Tongxin xuebao, 2023 The malicious attacks of Byzantine nodes in federated learning was studied over the non-independent and identically distributed dataset , and a privacy protection robust gradient aggregation algorithm was proposed.A reference gradient was designed to identify “poor quality” shared gradients in model training, and the influence of heterogeneity data on ...
Xindi MA +6 more
openaire +2 more sources
Eco‐Innovation: Drivers and Obstacles for Agriculture Firms in a Developing Country
Business Strategy and the Environment, EarlyView.ABSTRACT Sustainable agriculture is becoming increasingly vital for food security and economic growth, particularly as the agricultural sector grapples with challenges posed by climate change. This study, grounded in the environmental innovation theory, resource‐based view, and dynamic capabilities approach, uses logistic and multinomial logistic ...
Nelyda Campos‐Requena +4 more
wiley +1 more source
The significance of Sampling Design on Inference: An Analysis of Binary Outcome Model of Children’s Schooling Using Indonesian Large Multi-stage Sampling Data [PDF]
This paper aims to exercise a rather recent trend in applied microeconometrics, namely the effect of sampling design on statistical inference, especially on binary outcome model.
Ekki Syamsulhakim
core
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Subuniformity of harmonic mean p$$ p $$‐values
Canadian Journal of Statistics, EarlyView.Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen +3 more
wiley +1 more source
Learning-by-employing: the value of commitment [PDF]
We analyze a dynamic principal–agent model where an infinitely-lived principal faces asequence of finitely-lived agents who differ in their ability to produce output. The ability of anagent is initially unknown to both him and the principal.
Camargo, Braz Ministério de +1 more
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