Where to Build Food Banks and Pantries: A Two-Level Machine Learning Approach
Fuente:
arXiv
Guardado en:
| Autores principales: | Ruan, Gavin, Guo, Ziqi, Lin, Guang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Enhancing Bankruptcy Prediction of Banks through Advanced Machine Learning Techniques: An Innovative Approach and Analysis
por: Rustam, Zuherman, et al.
Publicado: (2025)
por: Rustam, Zuherman, et al.
Publicado: (2025)
Bank Loan Prediction Using Machine Learning Techniques
por: Haque, F M Ahosanul, et al.
Publicado: (2024)
por: Haque, F M Ahosanul, et al.
Publicado: (2024)
A Latent Risk-Aware Machine Learning Approach for Predicting Operational Success in Clinical Trials based on TrialsBank
por: Halimi, Iness, et al.
Publicado: (2026)
por: Halimi, Iness, et al.
Publicado: (2026)
Fairness in Graph Learning Augmented with Machine Learning: A Survey
por: Luo, Renqiang, et al.
Publicado: (2025)
por: Luo, Renqiang, et al.
Publicado: (2025)
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
por: Gao, Wentao, et al.
Publicado: (2024)
por: Gao, Wentao, et al.
Publicado: (2024)
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
por: Rens, Gavin B.
Publicado: (2025)
por: Rens, Gavin B.
Publicado: (2025)
Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique
por: Chattopadhyay, Anindita, et al.
Publicado: (2025)
por: Chattopadhyay, Anindita, et al.
Publicado: (2025)
Building Machines that Learn and Think with People
por: Collins, Katherine M., et al.
Publicado: (2024)
por: Collins, Katherine M., et al.
Publicado: (2024)
ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning
por: Sun, Zhishen, et al.
Publicado: (2026)
por: Sun, Zhishen, et al.
Publicado: (2026)
Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling
por: Lin, Guang, et al.
Publicado: (2026)
por: Lin, Guang, et al.
Publicado: (2026)
Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study
por: Mukhtar, Adil, et al.
Publicado: (2025)
por: Mukhtar, Adil, et al.
Publicado: (2025)
Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why
por: Armandpour, Mohammadreza, et al.
Publicado: (2026)
por: Armandpour, Mohammadreza, et al.
Publicado: (2026)
Diabetes Prediction and Management Using Machine Learning Approaches
por: Alzboon, Mowafaq Salem, et al.
Publicado: (2025)
por: Alzboon, Mowafaq Salem, et al.
Publicado: (2025)
Efficient Reinforcement Learning in Probabilistic Reward Machines
por: Lin, Xiaofeng, et al.
Publicado: (2024)
por: Lin, Xiaofeng, et al.
Publicado: (2024)
Probabilistic Dreaming for World Models
por: Wong, Gavin
Publicado: (2026)
por: Wong, Gavin
Publicado: (2026)
Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards
por: Liu, Fangqi, et al.
Publicado: (2025)
por: Liu, Fangqi, et al.
Publicado: (2025)
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage
por: Goodship, Gavin Lee, et al.
Publicado: (2025)
por: Goodship, Gavin Lee, et al.
Publicado: (2025)
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
por: Wang, Xin, et al.
Publicado: (2022)
por: Wang, Xin, et al.
Publicado: (2022)
Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine Unlearning
por: Song, Qipeng, et al.
Publicado: (2025)
por: Song, Qipeng, et al.
Publicado: (2025)
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
por: Gong, Aicheng, et al.
Publicado: (2024)
por: Gong, Aicheng, et al.
Publicado: (2024)
TSSR: Two-Stage Swap-Reward-Driven Reinforcement Learning for Character-Level SMILES Generation
por: Levine, Jacob Ede, et al.
Publicado: (2026)
por: Levine, Jacob Ede, et al.
Publicado: (2026)
Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
por: Moya, Christian, et al.
Publicado: (2026)
por: Moya, Christian, et al.
Publicado: (2026)
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
por: Murgai, Sharv, et al.
Publicado: (2024)
por: Murgai, Sharv, et al.
Publicado: (2024)
Credible CO2 Comparisons: A Machine Learning Approach to Vehicle Powertrain Assessment
por: David, Rodrigo Pereira, et al.
Publicado: (2026)
por: David, Rodrigo Pereira, et al.
Publicado: (2026)
Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach
por: Farayola, Grace Funmilayo, et al.
Publicado: (2025)
por: Farayola, Grace Funmilayo, et al.
Publicado: (2025)
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams
por: Fazzinga, Bettina, et al.
Publicado: (2025)
por: Fazzinga, Bettina, et al.
Publicado: (2025)
Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines
por: Blakely, Christian D.
Publicado: (2025)
por: Blakely, Christian D.
Publicado: (2025)
COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach
por: Ilani, Mohsen Asghari, et al.
Publicado: (2024)
por: Ilani, Mohsen Asghari, et al.
Publicado: (2024)
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
por: Bayram, Firas, et al.
Publicado: (2024)
por: Bayram, Firas, et al.
Publicado: (2024)
RAPTOR: Ridge-Adaptive Logistic Probes
por: Gao, Ziqi, et al.
Publicado: (2026)
por: Gao, Ziqi, et al.
Publicado: (2026)
eMargin: Revisiting Contrastive Learning with Margin-Based Separation
por: Shamba, Abdul-Kazeem, et al.
Publicado: (2025)
por: Shamba, Abdul-Kazeem, et al.
Publicado: (2025)
A More Practical Approach to Machine Unlearning
por: Zagardo, David
Publicado: (2024)
por: Zagardo, David
Publicado: (2024)
TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment
por: Wang, Jiaxuan, et al.
Publicado: (2026)
por: Wang, Jiaxuan, et al.
Publicado: (2026)
One Node Per User: Node-Level Federated Learning for Graph Neural Networks
por: Gao, Zhidong, et al.
Publicado: (2024)
por: Gao, Zhidong, et al.
Publicado: (2024)
TORQ: Two-Level Orthogonal Rotation for MXFP4 Quantization
por: Xu, Zukang, et al.
Publicado: (2026)
por: Xu, Zukang, et al.
Publicado: (2026)
Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents
por: Zhen, Shuai, et al.
Publicado: (2026)
por: Zhen, Shuai, et al.
Publicado: (2026)
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
por: Piao, Chengzhe, et al.
Publicado: (2024)
por: Piao, Chengzhe, et al.
Publicado: (2024)
Disentangled Representation Learning for Causal Inference with Instruments
por: Cheng, Debo, et al.
Publicado: (2024)
por: Cheng, Debo, et al.
Publicado: (2024)
Where to Add PDE Diffusion in Transformers
por: Zhang, Yukun, et al.
Publicado: (2025)
por: Zhang, Yukun, et al.
Publicado: (2025)
A Systems Theoretic Approach to Online Machine Learning
por: Preez, Anli du, et al.
Publicado: (2024)
por: Preez, Anli du, et al.
Publicado: (2024)
Ejemplares similares
-
Enhancing Bankruptcy Prediction of Banks through Advanced Machine Learning Techniques: An Innovative Approach and Analysis
por: Rustam, Zuherman, et al.
Publicado: (2025) -
Bank Loan Prediction Using Machine Learning Techniques
por: Haque, F M Ahosanul, et al.
Publicado: (2024) -
A Latent Risk-Aware Machine Learning Approach for Predicting Operational Success in Clinical Trials based on TrialsBank
por: Halimi, Iness, et al.
Publicado: (2026) -
Fairness in Graph Learning Augmented with Machine Learning: A Survey
por: Luo, Renqiang, et al.
Publicado: (2025) -
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
por: Gao, Wentao, et al.
Publicado: (2024)