Distributed perception and model inference with intelligent connected vehicles in smart cities
Sign Up to like & getrecommendations! Published in 2020 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102152
Abstract: Abstract The fast penetration of Intelligent Connected Vehicles (ICVs) has become the primary growth engine of the automotive industry in recent years. Urban vehicular network consisting of ICVs is evolving towards a distributed intelligent platform… read more here.
Keywords: connected vehicles; model inference; perception; intelligent connected ... See more keywords
Bayesian model inference: Exploring parsimonious models with MCMC and optimization approximations
Sign Up to like & getrecommendations! Published in 2025 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2025.2477826
Abstract: Abstract The rapid advancement in processing power and software accessibility has led to the widespread adoption of Bayesian modeling for comparing various distribution types. Parsimonious models, characterized by fewer parameters, are favored to mitigate the… read more here.
Keywords: bayesian model; model inference; parsimonious models; optimization ... See more keywords
Boolean network sketches: a unifying framework for logical model inference
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad158
Abstract: Abstract Motivation The problem of model inference is of fundamental importance to systems biology. Logical models (e.g. Boolean networks; BNs) represent a computationally attractive approach capable of handling large biological networks. The models are typically… read more here.
Keywords: boolean network; experimental data; model; model inference ... See more keywords
Successive Refinement in Large-Scale Computation: Expediting Model Inference Applications
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2025.3537409
Abstract: Modern computationally-intensive applications often operate under time constraints, necessitating acceleration methods and distribution of computational workloads across multiple entities. However, the outcome is either achieved within the desired timeline or not, and in the latter… read more here.
Keywords: model inference; result; resolution; large scale ... See more keywords
Incomplete graphical model inference via latent tree aggregation
Sign Up to like & getrecommendations! Published in 2017 at "Statistical Modelling"
DOI: 10.1177/1471082x18786289
Abstract: Graphical network inference is used in many fields such as genomics or ecology to infer the conditional independence structure between variables, from measurements of gene expression or species abundances for instance. In many practical cases,… read more here.
Keywords: aggregation; network; model inference; model ... See more keywords
Towards Blockchain-Based Federated Machine Learning: Smart Contract for Model Inference
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11031010
Abstract: Federated learning is a branch of machine learning where a shared model is created in a decentralized and privacy-preserving fashion, but existing approaches using blockchain are limited by tailored models. We consider the possibility to… read more here.
Keywords: blockchain based; oracle service; machine learning; model inference ... See more keywords