世界模型 - arXivDaily 专题

2001.00621 2020-01-06 cs.LG stat.ML 53%

BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model

Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan, Yoosef B. Abushark, Khaled Salah

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

Journal ref Journal: Mobile Networks and Applications, Springer, 2019

1911.08361 2019-11-20 cs.LG stat.AP stat.ML 53%

Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches

Ilkka Rautiainen, Sami Äyrämö

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

Comments 8 pages, 1 figure

1907.08120 2019-07-19 cs.LG stat.ML 53%

Automating concept-drift detection by self-evaluating predictive model degradation

Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

Comments 5 pages, 4 figures

1811.06109 2018-11-16 cs.LG cs.CY stat.ML 53%

Predictive Modeling with Delayed Information: a Case Study in E-commerce Transaction Fraud Control

Junxuan Li, Yung-wen Liu, Yuting Jia, Yifei Ren, Jay Nanduri

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

1810.04227 2018-10-22 cs.LG math.DS q-bio.TO stat.ML 53%

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling

Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis, Stef Garasto, Charles Houston, Rasheda A. Chowdhury, Fu Siong Ng, Anil A. Bharath, Nicholas S. Peters

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

1803.07764 2018-09-13 cs.SE cs.LG 53%

Estimating defectiveness of source code: A predictive model using GitHub content

Ritu Kapur, Balwinder Sodhi

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

Comments Submitted to ACM ESEC/FSE 2018. Keywords: Maintaining software; Source code mining; Software defect identification; Automated software engineering; AI in software engineering

1809.03119 2018-09-11 cs.ET cs.AI cs.CV 53%

Memristive LSTM network hardware architecture for time-series predictive modeling problem

Kazybek Adam, Kamilya Smagulova, Alex Pappachen James

专题命中通用世界模型：predictive model(title)；分类 cs.AI、cs.CV

Comments IEEE Asia Pacific Conference on Circuits and Systems, 2018

1801.05236 2018-08-23 cs.SE cs.CY cs.LG stat.ML 53%

MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data

Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan Baker

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

1706.04336 2018-07-31 stat.AP stat.ML 53%

Predictive modelling of training loads and injury in Australian football

David L. Carey, Kok-Leong Ong, Rod Whiteley, Kay M. Crossley, Justin Crow, Meg E. Morris

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

Comments 15 pages, 5 figures

1807.03860 2018-07-18 stat.AP 53%

A Cautionary Tail: A Framework and Case Study for Testing Predictive Model Validity

Peter C. Casey, Kevin H. Wilson, David Yokum

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

1802.01746 2018-02-07 cs.CY cs.CR 53%

ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks

Tsung-Ting Kuo, Lucila Ohno-Machado

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

1710.01788 2017-10-06 stat.ML 53%

Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties

Ming Yu, Addie M. Thompson, Karthikeyan Natesan Ramamurthy, Eunho Yang, Aurélie C. Lozano

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

1709.03226 2017-09-12 q-fin.PM 53%

Predictive Modeling: An Optimized and Dynamic Solution Framework for Systematic Value Investing

R. J. Sak

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

1705.09563 2017-09-07 stat.AP 53%

FRAMR-EMR: Framework for Prognostic Predictive Model Development Using Electronic Medical Record Data with a Case Study in Osteoarthritis Risk

Jason Black, Amanda Terry, Daniel Lizotte

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

1612.05844 2016-12-20 stat.ME stat.AP 53%

What can we Learn from Predictive Modeling?

Skyler J. Cranmer, Bruce A. Desmarais

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

1612.05794 2016-12-20 cs.LG 53%

A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study

Zeeshan Khawar Malik, Zain U. Hussain, Ziad Kobti, Charlie W. Lees, Newton Howard, Amir Hussain

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

1608.03990 2016-11-08 cs.CE 53%

Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils

Anand Pratap Singh, Shivaji Medida, Karthik Duraisamy

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

1609.07480 2016-09-27 stat.AP cs.AI stat.ML 53%

Predictive modelling of football injuries

Stylianos Kampakis

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.AI

Comments PhD Thesis submitted and defended successfully at the Department of Computer Science at University College London

1503.06391 2015-03-24 cs.RO 53%

Predictive model of the human muscle fatigue: application to repetitive push-pull tasks with light external load

Sophie Sakka, Damien Chablat, Ruina Ma, Fouad Bennis

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.RO

Journal ref International Journal of Human Factors Modelling and Simulation, Inderscience, 2015, 5 (1), pp.81-97

1207.6910 2013-05-09 cs.NI cs.LG 53%

Gaussian process regression as a predictive model for Quality-of-Service in Web service systems

Jakub M. Tomczak, Jerzy Swiatek, Krzysztof Latawiec

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

Comments 9 pages, 4 figures, technical report

2606.13113 2026-08-19 eess.SY cs.RO cs.SY 版本更新 50%

MPC for underactuated spacecraft control with a Lyapunov supervised physics-informed neural network correction layer

基于李雅普诺夫监督的物理信息神经网络校正层的欠驱动航天器MPC控制

Amirhossein Ayanmanesh Motlaghmofrad, Carlo Cena, Mauro Martini, Marcello Chiaberge

机构 * Politecnico di Torino（托斯纳理工学院）； Argotec S.R.L.（Argotec公司）

专题命中通用世界模型：environment model(abstract)；分类 cs.RO

AI总结针对欠驱动航天器姿态控制，提出一种分层架构，结合非线性模型预测控制、物理信息神经网络和李雅普诺夫监督机制，在不确定性下降低稳态误差并保持鲁棒性。

Comments Accepted at SPAICE (AI in and for Space) 2026

2608.15700 2026-08-18 cs.AI 新提交 50%

Adaptive Mixing of Policies from Searching and Policies from Learning

搜索策略与学习策略的自适应混合

Gavin B. Rens

机构 * Stellenbosch University（斯泰伦博斯大学）

专题命中通用世界模型：environment model(abstract)；分类 cs.AI

AI总结研究针对强化学习中搜索耗时问题，提出Flexer架构自适应混合神经网络与MCTS策略，在三类玩具符号问题实验中性能优于AlphaZero、DQN和ADP。

Comments 23 pages, 16 figures

2603.04113 2026-08-18 cs.CV cs.AI 版本更新 50%

Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

通过解构解耦解剖与对比来理解脑部MRI中人口预测性的来源

Mehmet Yigit Avci, Akshit Achara, Andrew King, Jorge Cardoso

机构 * School of Biomedical Engineering \& Imaging Sciences, King’s College London, London, UK

专题命中通用世界模型：分类 cs.AI、cs.CV；predictive model(abstract)；predictive models(abstract)

AI总结本文通过解耦脑MRI中的解剖和对比特征，发现人口预测性主要源于解剖变异，而非成像依赖特征。

2512.05507 2026-08-18 cs.SE 50%

Generative AI in Simulation-Based Test Environments for Large-Scale Cyber-Physical Systems: An Industrial Study

生成AI在基于仿真的测试环境中的大规模网络物理系统应用：一项工业研究

Masoud Sadrnezhaad, José Antonio Hernández López, Torvald Mårtensson, Daniel Varro

专题命中通用世界模型：environment model(abstract)；simulation model(abstract)

AI总结本文探讨了生成AI在大规模网络物理系统基于仿真测试中的应用，通过工业调研揭示了挑战与研究方向。

Comments This paper appears in the proceedings of the 26th International Conference on Product-Focused Software Process Improvement (PROFES 2025). For citations, please refer to the published version in the PROFES 2025 proceedings

Journal ref Product-Focused Software Process Improvement, PROFES 2025, Lecture Notes in Computer Science, vol. 16361, pp. 203-219 (2026)

2608.11181 2026-08-12 cs.CC cs.AI cs.LG 新提交 50%

How to Verify Consistency of Probabilistic Claims

如何验证概率断言的一致性

Orr Paradise, Oliver Richardson, Yoshua Bengio, Shafi Goldwasser

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

AI总结该研究针对概率预测器答案的自洽性验证问题，基于Nilsson的工作构造交互式PCP，为概率预测器自洽性证明提供复杂性理论基础，是训练模型证明自身一致性的第一步。

2608.09357 2026-08-11 cs.CV 新提交 50%

ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation

ControlRadio：用于跨模态无线电地图生成的提示驱动可控扩散模型

Kangjun Liu, Xiying Pan, Shuhang Zhang, Xiang Xiang, Ke Chen, Yaowei Wang

机构 * Pengcheng Laboratory（鹏城实验室）； South China University of Technology（华南理工大学）； Peking University（北京大学）； Huazhong University of Science and Technology（华中科技大学）； Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳））

专题命中通用世界模型：environment model(abstract)；分类 cs.CV

AI总结 ControlRadio是一种可控生成框架，可根据自然语言描述和环境布局生成无线电地图，在不同城市场景中精度和泛化能力领先，计算时间较传统方法减少四个数量级以上，为无线环境建模提供新范式。

Comments 17 pages, 9 figures, 8 tables

2608.08158 2026-08-11 cs.AI cs.LG 新提交 50%

A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning

强化学习中动态奖励塑造的统一框架

Fouad Bahrpeyma

机构 * Dresden University of Applied Sciences（德累斯顿应用技术大学）

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

AI总结本研究提出统一分析框架，区分奖励塑造相关类型，分析12类方法族，明确最优性保证在当代深度强化学习流程中的存续条件，揭示适应率与学习器稳定性间未解决的关系。

2608.05230 2026-08-07 stat.ML cs.AI cs.LG cs.NE 新提交 50%

Quality Diversity for Reliable Data Driven Time-Use Optimization

面向可靠数据驱动时间使用优化的质量多样性方法

Aneta Neumann, Ty Stanford, Dorothea Dumuid, Frank Neumann

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

AI总结该研究针对时间使用优化中忽略预测不确定性的问题，提出不确定性量化质量多样性框架，平衡健康收益与模型置信度，生成更可靠的时间使用建议。

Comments To appear in the Proceedings of Parallel Problem Solving from Nature (PPSN 2026)

2604.21030 2026-08-06 eess.SY cs.AI cs.RO cs.SY math.OC 版本更新 50%

A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems

一种线性系统中强化学习-模型预测控制整合的系统综述与分类

Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy, Malihe Abdolbaghi, Mahshad Rastegarmoghaddam, Shima Samadzadeh, Mahdi Ghane

机构 * Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano（电子信息生物工程系（DEIB），米兰理工大学）； Department of Applied Mathematics, Ferdowsi University of Mashhad（应用数学系，法尔德大学）； Department of Mechanical Engineering, Politecnico di Milano（机械工程系，米兰理工大学）； Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Guilan（应用数学系，加林大学）； Department of Robotics and Control Engineering, Shahrood University of Technology（机器人与控制工程系，沙霍德技术大学）

专题命中通用世界模型：分类 cs.AI、cs.RO；predictive model(abstract)；predictive models(abstract)

AI总结本文系统综述了线性系统中强化学习与模型预测控制整合的研究，通过多维分类揭示了整合策略、挑战及方法学趋势，为相关研究提供结构化参考。

2607.22045 2026-08-04 cs.LG cs.AI 版本更新 50%

CEL: Comprehensive Counterfactual Explanations Library and Benchmark

CEL：综合反事实解释库与基准测试

Oleksii Furman, Łukasz Lenkiewicz, Marcel Musiałek, Maciej Zięba

机构 * Wrocław University of Science and Technology（弗罗茨瓦夫科技大学）

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

AI总结该研究针对可解释人工智能中反事实解释方法评估难的问题，引入CEL统一库与基准测试，包含多数据集及方法实现，通过标准化设置全面比较多种方法，为反事实解释方法评估提供统一框架，促进未来方法发展。

Comments 16 pages, 5 figures. Accepted for presentation at the XKDD and Beyond Workshop (non-archival)

1. 通用世界模型 4349 篇

BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model

Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches

Automating concept-drift detection by self-evaluating predictive model degradation

Predictive Modeling with Delayed Information: a Case Study in E-commerce Transaction Fraud Control

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling

Estimating defectiveness of source code: A predictive model using GitHub content

Memristive LSTM network hardware architecture for time-series predictive modeling problem

MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data

Predictive modelling of training loads and injury in Australian football

A Cautionary Tail: A Framework and Case Study for Testing Predictive Model Validity

ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks

Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties

Predictive Modeling: An Optimized and Dynamic Solution Framework for Systematic Value Investing

FRAMR-EMR: Framework for Prognostic Predictive Model Development Using Electronic Medical Record Data with a Case Study in Osteoarthritis Risk

What can we Learn from Predictive Modeling?

A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study

Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils

Predictive modelling of football injuries

Predictive model of the human muscle fatigue: application to repetitive push-pull tasks with light external load

Gaussian process regression as a predictive model for Quality-of-Service in Web service systems

MPC for underactuated spacecraft control with a Lyapunov supervised physics-informed neural network correction layer

Adaptive Mixing of Policies from Searching and Policies from Learning

Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

Generative AI in Simulation-Based Test Environments for Large-Scale Cyber-Physical Systems: An Industrial Study

How to Verify Consistency of Probabilistic Claims

ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation

A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning

Quality Diversity for Reliable Data Driven Time-Use Optimization

A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems

CEL: Comprehensive Counterfactual Explanations Library and Benchmark