Results 71 to 80 of about 2,430,587 (138)

Supervised Score-Based Modeling by Gradient Boosting

Score-based generative models can effectively learn the distribution of data by estimating the gradient of the distribution. Due to the multi-step denoising characteristic, researchers have recently considered combining score-based generative models with
Zhao, Changyuan, Du, Hongyang, Liu, Guangyuan, Niyato, Dusit   +3 more
core   +2 more sources

A methodology for deploying the max-sum algorithm and a case study on unmanned aerial vehicles

, 2012
We present a methodology for the deployment of the max-sum algorithm, a well known decentralised algorithm for coordinating autonomous agents, for problems related to situational awareness.
Delle Fave, F. M., Farinelli, A., Jennings, Nick, Fave, Francesco Maria Delle, Jennings, N. R., Rogers A., Delle Fave, Francesco Maria, Rogers, Alex, Jennings N. R., Farinelli, Alessandro, Delle Fave F. M., Rogers, A., N. R. Jennings, A. Farinelli, A. Rogers, F. M. Delle Fave   +15 more
core   +1 more source

Deterioration Modeling of Pavement Performance in Cold Regions Using Probabilistic Machine Learning Method

Accurate and reliable modeling of pavement deterioration is critical for effective infrastructure management. This study proposes a probabilistic machine learning framework using Bayesian-optimized Natural Gradient Boosting (BO-NGBoost) to predict the ...
Wenxiu Wu, Zhen Liu, Xingyu Gu
core   +1 more source

Explainable Artificial Intelligence to Unveil Intrinsic Characteristics of Conditioning Factors Governing Forest Fire Susceptibility [PDF]

Forest fires are typically triggered by natural factors or human negligence and accidents, spreading across vast areas and causing extensive damage to vegetation, wildlife, and ecosystems.
A. Teke, T. Kavzoglu
core   +2 more sources

Towards Meta-learning over Data Streams [PDF]

, 2014
Modern society produces vast streams of data. Many stream mining algorithms have been developed to capture general trends in these streams, and make predictions for future observations, but relatively little is known about which algorithms perform ...
Pfahringer, Bernhard, van Rijn, Jan N., Holmes, Geoffrey, Vanschoren, Joaquin   +3 more
core  

A G 2 {subdivision algorithm 1

, 1998
In this paper we present a method to optimize the smoothness order of subdivision algorithms generating surfaces of arbitrary topology.
Subdivision Algorithm Hartmut, Georg Umlauf, Hartmut Prautzsch   +2 more
core  

Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics. [PDF]

Metabolites, 2023
Yagin FH, Yasar S, Gormez Y, Yagin B, Pinar A, Alkhateeb A, Ardigò LP.   +6 more
europepmc   +1 more source

Uncertainty Estimation in Predicting River Discharge Using Probabilistic Machine Learning and Conformal Prediction. [PDF]

Sensors (Basel)
Abdi E, Sattari MT, Pal M, Milewski A, Apaydin H.   +4 more
europepmc   +1 more source

Enhancing Boiler Operational Economy via Data-Driven Collaborative Combustion Optimization. [PDF]

ACS Omega
Sui Y, Wang Q, Zhao C, Cai W, Pan H, Lei X, Zhao J, Ding L, Xu M, Shi S.   +9 more
europepmc   +1 more source

Explainable AI-based optimization framework for sustainable fly ash concrete design. [PDF]

Sci Rep
Khorshidi M, Nejatipour P, Teimortashlu A, Oliveto G, Afaridegan E.   +4 more
europepmc   +1 more source