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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Quantifying model structu" (30 stories)

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Quantifying uncertainty in protein representations across models and tasks
Lead StoryNaturetech
Apr 1

Quantifying uncertainty in protein representations across models and tasks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1sdWpnWGxZRE50QzN0SmZjX0E5WGVES1J0MnJpY2NDc2JzdlBsSGNIRTM0aEN4V29VWTNhWjFYQU1LUlN3blhXaDVtZlVneldlVnNKVTM0anhBLXZZYlZn?oc=5" target="_blank">Quantifying uncertainty in protein representations across models and tasks</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Quantifying model structu"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Quantifying cultural landscape structure in historic Nanjing: a landscape ecological approach
Naturegeneral

Quantifying cultural landscape structure in historic Nanjing: a landscape ecological approach

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE44V2xNRU9hNWFSMmNkMGtEUGcwalJlN1Rpd3JuSVFyTENEYk9wR2hHU2s0cVZyZmh2MlZrNTVlQzdnZkpRX094bThMWV9BdUZONndnemRBaFFyX2xzRlhj?oc=5" target="_blank">Quantifying cultural landscape structure in historic Nanjing: a landscape ecological approach</a>  <font color="#6f6f6f">Nature</font>

Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data‐driven error model
AGU Publicationsworld

Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data‐driven error model

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9KM3N2c0F3VHREM0tFM05Ja2pXQnZCcVZBRUVSclFwdW1wN3AzWndyOUxYdmw1UEk5RXBxVVhWYUotSURLVFRINklDNG5CYlkzMWVsaFFxU2JJRjBmNm1sREoyVGdXbGNYRmNid0kta3I1bzZmNHh3VQ?oc=5" target="_blank">Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data‐driven error model</a>  <font color="#6f6f6f">AGU Publications</font>

Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions
Frontierstech

Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions

<a href="https://news.google.com/rss/articles/CBMiigFBVV95cUxPS1pIZHVkR3E1cllFYTJya0JaeTdxbEMzNU1KLVdvMXNGMm1FVkVXX24wRFhkUVhwcDZEZ3RrUXI1bkN5amNYeGpvd2NadTdpdm9HZmFPaGFoX0JxMVJCR213RTBpR2VyOXdSWlNQMlpTNE9xcHlmUjhEWmZTbVNpLWJHdlF4RUxFY1E?oc=5" target="_blank">Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions</a>  <font color="#6f6f6f">Frontiers</font>

Research on characteristic recognition and quantification of internal powder residue in LPBF porous structure based on image processing | Scientific Reports
Naturegeneral

Research on characteristic recognition and quantification of internal powder residue in LPBF porous structure based on image processing | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjQWkta29iNXNhUm04MjFabVFMUWlldEYtY1U4bWNfbmFQVXpfMEhUZzVPT3BfazlPTEM3MlpLQURackVHRUpvWmk0MEJLNFRuYWt4ZXYyM2R5VzVoSVJV?oc=5" target="_blank">Research on characteristic recognition and quantification of internal powder residue in LPBF porous structure based on image processing | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Quantifying Process Connectivity With Transfer Entropy in Hydrologic Models
AGU Publicationsgeneral

Quantifying Process Connectivity With Transfer Entropy in Hydrologic Models

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9BcEwxMl8wV0w3UWY0MGdXOXVMQnA4SUNuSkRYYW1GM1hfNXFKdDFmcC1HTmFqdlQ4Z2UzR1Q0SHJHNnFJbEJhX0dNcUk1dFJxM09EcjAxOWh3RDBMbWRVbm15N2gtQ1NPZ09mODJlLVVlbVFsNEk0NQ?oc=5" target="_blank">Quantifying Process Connectivity With Transfer Entropy in Hydrologic Models</a>  <font color="#6f6f6f">AGU Publications</font>

Measuring and locating the changes in protein structure using MELO
Naturegeneral

Measuring and locating the changes in protein structure using MELO

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5FLVpCM1NjV3hzaldLc2VkYlA3LVlFay1nLWNRVTVKUG52X1BRVW80aC1sd2RNSFhaUVlwdk1FQWxmZy1qcDZKNGh4R1c1aURwdEpMUTlYY1NxSkpxUFBr?oc=5" target="_blank">Measuring and locating the changes in protein structure using MELO</a>  <font color="#6f6f6f">Nature</font>

Quantifying modeling uncertainties in seismic analysis of dams: Insights from an international benchmark study
Wiley Online Librarytech

Quantifying modeling uncertainties in seismic analysis of dams: Insights from an international benchmark study

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE02T2gwLWJBeFBjWUZadktxOUt5OGNLV3U0dkdCUFU5MFhGdlNSb2NlTUJVampHRGpJQTl0bXBXZ0JQQ1JEXzFqaUtiX3ZzTU9EN3J4Njk1LWJoMXFpeHFyWDNNSzRXRFUz?oc=5" target="_blank">Quantifying modeling uncertainties in seismic analysis of dams: Insights from an international benchmark study</a>  <font color="#6f6f6f">Wiley Online Library</font>

Dealing with soft variables and data scarcity: lessons learnt from quantification in a participatory system dynamics modelling process
Wiley Online Librarygeneral

Dealing with soft variables and data scarcity: lessons learnt from quantification in a participatory system dynamics modelling process

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTFBpUDNDWVpoRS00TTc3bnowVlo2UUFlejZ3NFlUQnBybVhpVHhnOGlraWlZeVJlSlBKRmdkaFpPRm9XX3hlUnlLbkdBMllXSFBXRGdxVVlzR3RDcGR1WU8wQ1lGQXRyM2VJ?oc=5" target="_blank">Dealing with soft variables and data scarcity: lessons learnt from quantification in a participatory system dynamics modelling process</a>  <font color="#6f6f6f">Wiley Online Library</font>

Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification
Naturetech

Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1VWG02dGM0c3ppQlZ4ZlFWMnZ4RkUzSzZEa2kxU1RweUFya1V4bzZkVWtCaFk3am82Y1BTeEJidUhTWUhLY1JFZERramVadGJlbWFaa1VLZS0zUGlvNlBV?oc=5" target="_blank">Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification</a>  <font color="#6f6f6f">Nature</font>

Quantification of modeling uncertainty in the Rayleigh damping model
Wiley Online Librarytech

Quantification of modeling uncertainty in the Rayleigh damping model

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE01UFVoMmNYaUR3MHNJNE5SZ3hmNmdpTVNmSEZMb0lhNTNLZUFaNmJuR2Q1V1RpUWZmZk1LbTk0MV9oTmhOMUxMSUI3R3FOVVZkdDNxYkhBZFYwZFlpY1ZreDFOZFJpSEQx?oc=5" target="_blank">Quantification of modeling uncertainty in the Rayleigh damping model</a>  <font color="#6f6f6f">Wiley Online Library</font>

A modeling approach to quantify ecological dynamics and functional structures of paleocommunities
Natureworld

A modeling approach to quantify ecological dynamics and functional structures of paleocommunities

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5EVlhFY0FNS2MwM0FKemRnYVNuX3AzMnRiTnlGMDVVS0tvd2tuRnd3Q3dvOWRFOUd5d2k4a29oakgybXFKQmFTYzZlcGtRd3Z6eXR0ZEF4Rk4xV0dsazE0?oc=5" target="_blank">A modeling approach to quantify ecological dynamics and functional structures of paleocommunities</a>  <font color="#6f6f6f">Nature</font>

Electronic structure prediction of multi-million atom systems through uncertainty quantification enabled transfer learning
Naturetech

Electronic structure prediction of multi-million atom systems through uncertainty quantification enabled transfer learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5HTUJ0dlVvQ0dkajJ6aEJNVzFQQ1ItMW5JZy00S0ctLVJWc1FyQlpQd2dFV2ozTEZucWdTdjRnbEYtVVBjeWJKc25rQ28yZE5wMVV1bl9kOERRZU41WTZR?oc=5" target="_blank">Electronic structure prediction of multi-million atom systems through uncertainty quantification enabled transfer learning</a>  <font color="#6f6f6f">Nature</font>

Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory
Naturetech

Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9BMXcxNUZ6cVdIRmhPeWc3VFZyaU11NXI4d0F3ZExsSlNJNlRGVzZEU1Y4SFkzdHVVUVl4eGNVaGFybUlBSHdjdVZxV2xNa01jZ3pNN0xHcnBQNzhNNW5J?oc=5" target="_blank">Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory</a>  <font color="#6f6f6f">Nature</font>

Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination
Naturetech

Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBTNEdVVV9URDRCTE9WanAxdzY0bDllZWc0OTlPNFNaY1hlelZvQWJLUEJ2bE9yTUVrcXFHdE1FYUFaS1JyMWNDS0x6dFJ1TDFyUFlrLUdzbzl3QnRmdzNF?oc=5" target="_blank">Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination</a>  <font color="#6f6f6f">Nature</font>

A universal similarity based approach for predictive uncertainty quantification in materials science
Naturetech

A universal similarity based approach for predictive uncertainty quantification in materials science

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SVHYyelpKcGxST3ZmdlhlUm9INmtqc2xKSmNaUHJsejFkTk16NXlscjVsYjM2TFltaTFmdHM1OHhwWko5ZFZ6bUphX2NvY3NQdHZGZTk2cmJnc180NnVZ?oc=5" target="_blank">A universal similarity based approach for predictive uncertainty quantification in materials science</a>  <font color="#6f6f6f">Nature</font>

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles
Naturetech

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE11ZjZZd041NFpNQTRjZ2owRVBYTDFOZGZhQ3BsUHM0TlljOER4RU0xM2R1d3pvVXFtTDNmbWdKUk9sd0ZEQ2JtaWRxRVpxRnZRX19jMzRXODBIZ3YzWDhV?oc=5" target="_blank">Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles</a>  <font color="#6f6f6f">Nature</font>

Quantifying changes in individual-specific template-based representations of center-of-mass dynamics during walking with ankle exoskeletons using Hybrid-SINDy | Scientific Reports
Naturegeneral

Quantifying changes in individual-specific template-based representations of center-of-mass dynamics during walking with ankle exoskeletons using Hybrid-SINDy | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9LSVpUdmNVbl9HbFNieldaTUJEendZVTZkWUh6bGdjMHZZeFpHZjlGSmg4ZzlITlNGV1pieHdqdjBEeVhsQ01QVU9fQmY5Z3N1SHN2UElmSDE2SmJjcnFV?oc=5" target="_blank">Quantifying changes in individual-specific template-based representations of center-of-mass dynamics during walking with ankle exoskeletons using Hybrid-SINDy | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Uncertainty quantification for misspecified machine learned interatomic potentials
Naturetech

Uncertainty quantification for misspecified machine learned interatomic potentials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1kNkVya3N0djNwZVZMejNINGR1ZURkWGhMdlQ3YjFtQUVjSGJYQ3RFZklXbkt3NFMwaFhzaVd0QmNwNkZTTEhiY1BNdkkwdzdJTGF6RFBEUkNEOTVEc2hZ?oc=5" target="_blank">Uncertainty quantification for misspecified machine learned interatomic potentials</a>  <font color="#6f6f6f">Nature</font>

Uncertainty quantification with graph neural networks for efficient molecular design
Naturetech

Uncertainty quantification with graph neural networks for efficient molecular design

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9hd0NsZnpJTVNfUkZJczhSeXBEUXRWRl9xNTk2VGh5VU9iSGlWdndPZXhkX3BGd2sxemdqTGpROVNmSl9mMU83MXp2TXJGN0hMTVEyTkQ0TF9tanVnak5B?oc=5" target="_blank">Uncertainty quantification with graph neural networks for efficient molecular design</a>  <font color="#6f6f6f">Nature</font>

Bayesian deep reinforcement learning for uncertainty quantification and adaptive support optimization in deep foundation pit engineering
Naturetech

Bayesian deep reinforcement learning for uncertainty quantification and adaptive support optimization in deep foundation pit engineering

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9VY1h1ai1zOWtjWDU4RmpQTERVN1IxSWtDWVhMMW0wQUgyUzd4M1dKRzhOMG1wODRnYm9jSjVfekF2dy1ITkdPZkV6a0lsbTBRSjlNM2QyMURZSVdpdW1N?oc=5" target="_blank">Bayesian deep reinforcement learning for uncertainty quantification and adaptive support optimization in deep foundation pit engineering</a>  <font color="#6f6f6f">Nature</font>

Uncertainty quantification enables reliable deep learning for protein–ligand binding affinity prediction | Scientific Reports
Naturetech

Uncertainty quantification enables reliable deep learning for protein–ligand binding affinity prediction | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3S1ItcWFqSlp5bFNTNjU5Um9OT21MUnoycER3cmJPN1BiS2prN3FYcHNkQWdqSVUwd2ZwbXR3blU0aTRJVUM4NGNiY0NfN1dWQm85UTNlOU9tNW1leFVN?oc=5" target="_blank">Uncertainty quantification enables reliable deep learning for protein–ligand binding affinity prediction | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Quantifying metadata relevance to network block structure using description length
Naturegeneral

Quantifying metadata relevance to network block structure using description length

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9zMnUySHFvcGs2WmVta05aVVJJYWhUTllodUJOOTNFTmo5d2lJc2lMTFZwck5rQ3dyVW44eVJfZlpGcUg0YTNLbEZkWGZXRXRoeWhsMzJrZjNrYmE5c01N?oc=5" target="_blank">Quantifying metadata relevance to network block structure using description length</a>  <font color="#6f6f6f">Nature</font>

Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN
Naturegeneral

Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54UW9pbjBmZGwtM0NJOEd3eTkxMHNBSkdBb2k5ODg5eVlKdXo2dldPYm5mdVYycjJyTmlKX1RhRDdVNUV1ZnpTNWhqWTVDT0tSX0JhakFWQzhUb2lGTzRz?oc=5" target="_blank">Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN</a>  <font color="#6f6f6f">Nature</font>

Massive experimental quantification allows interpretable deep learning of protein aggregation
Science | AAASgeneral

Massive experimental quantification allows interpretable deep learning of protein aggregation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE96LUlvRHVVQ1dnR0tjYU51UWlRNEltVFF4eG5PbDRMZTV6MDhFUl96SWhPY28tNDdFRzFvdVIyV2FOVHRPa05JdEIwaUVuS2I5M0lJOU1qbWFnM0pWMjgw?oc=5" target="_blank">Massive experimental quantification allows interpretable deep learning of protein aggregation</a>  <font color="#6f6f6f">Science | AAAS</font>

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
Naturegeneral

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE13Y2N2RGxOLVljMWtpLUZMZkJTYmJHdDlKVTNQVVpvYUZKTXFiTGtFaXYxZl8zSVFmNHo4LVUxNGNvWk9ndUhfTzQxa3FDUEpJOUY1b01NVVdpY1E3Rzhr?oc=5" target="_blank">Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems</a>  <font color="#6f6f6f">Nature</font>

Quantifying cerebral blood flow in the whole brain in a diffusion model with multiple sources from cerebrovascular structures
Wiley Online Librarytech

Quantifying cerebral blood flow in the whole brain in a diffusion model with multiple sources from cerebrovascular structures

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE9laDdtTEc4MkdSZzBnMEZIbkNJWkkwQTM0cXZtQ003UURSU2dENURqemJVZnM0eUJrVno5R1VDNkVOM2tFTi1sQ0s3cC1yX0s5QnEyUzU2UGUzVXpzdnB4WU53UW5lZ3p0WlA4?oc=5" target="_blank">Quantifying cerebral blood flow in the whole brain in a diffusion model with multiple sources from cerebrovascular structures</a>  <font color="#6f6f6f">Wiley Online Library</font>

A double machine learning model for measuring the impact of the Made in China 2025 strategy on green economic growth
Natureworld

A double machine learning model for measuring the impact of the Made in China 2025 strategy on green economic growth

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9BUzdsbXVVclRTYmVFLWQ4WVRBZFV0a3hqbUlRSGZ5RjN0aXppbnNJUDJpZFNmeW9DM0dOWVJxcnIyekRDczZRQUpsazlxbzVXcGNySjY1WFJPejVNVWU4?oc=5" target="_blank">A double machine learning model for measuring the impact of the Made in China 2025 strategy on green economic growth</a>  <font color="#6f6f6f">Nature</font>

Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning
Naturegeneral

Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVaC1idFN0Rk5TQjhZSFFQMkFlTWpneUFKM001RjFQd19XR0FPRzlGeGp6djE2ZjFMSVVWaW9wMXlkcXFLMy1kNHBiQVNYOUJzYmk0MWlaaVNZX2ROYlFz?oc=5" target="_blank">Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning</a>  <font color="#6f6f6f">Nature</font>

Improved multi-objective decision-making in manufacturing processes through uncertainty quantification and robust pareto front modelling
Naturetech

Improved multi-objective decision-making in manufacturing processes through uncertainty quantification and robust pareto front modelling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15TlA1and4S1VZZUl4V2lpR25od1JYUkRQRzFOb24zaGJKeXBkY0JfOHN5djVmRTdfYUNnMDRYQzJRaElNcDBWckJyeG5zY19taDlxVE5wZ0V6UEdzdjlz?oc=5" target="_blank">Improved multi-objective decision-making in manufacturing processes through uncertainty quantification and robust pareto front modelling</a>  <font color="#6f6f6f">Nature</font>