Matching Problems to Solutions: An Explainable Way of Solving Machine Learning Problems
Fuente:
arXiv
Guardado en:
| Autores principales: | Saleh, Lokman, Mili, Hafedh, Boukadoum, Mounir, Leshob, Abderrahmane |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
por: Tan, Zhentao, et al.
Publicado: (2024)
por: Tan, Zhentao, et al.
Publicado: (2024)
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
por: Krishna, Satyapriya, et al.
Publicado: (2022)
por: Krishna, Satyapriya, et al.
Publicado: (2022)
Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
por: Ghanem, Abdelghani, et al.
Publicado: (2026)
por: Ghanem, Abdelghani, et al.
Publicado: (2026)
Two Integration Pathways in Human-Centered Requirements Engineering: A Systematic Mapping Study of Structural Gaps
por: Benzarti, Imen, et al.
Publicado: (2026)
por: Benzarti, Imen, et al.
Publicado: (2026)
Unsupervised Learning for Solving the Travelling Salesman Problem
por: Min, Yimeng, et al.
Publicado: (2023)
por: Min, Yimeng, et al.
Publicado: (2023)
An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving
por: Villuri, Gnaneswar, et al.
Publicado: (2024)
por: Villuri, Gnaneswar, et al.
Publicado: (2024)
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
por: Qian, Chendi, et al.
Publicado: (2025)
por: Qian, Chendi, et al.
Publicado: (2025)
Learning to Solve Orienteering Problem with Time Windows and Variable Profits
por: Gao, Songqun, et al.
Publicado: (2026)
por: Gao, Songqun, et al.
Publicado: (2026)
Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem
por: Kachan, Oleg, et al.
Publicado: (2025)
por: Kachan, Oleg, et al.
Publicado: (2025)
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems
por: Khandelwal, Vedant, et al.
Publicado: (2024)
por: Khandelwal, Vedant, et al.
Publicado: (2024)
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning
por: Metelo, Frederico, et al.
Publicado: (2024)
por: Metelo, Frederico, et al.
Publicado: (2024)
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
por: Jiang, Caigao, et al.
Publicado: (2024)
por: Jiang, Caigao, et al.
Publicado: (2024)
An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems
por: Miao, Changhao, et al.
Publicado: (2025)
por: Miao, Changhao, et al.
Publicado: (2025)
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
por: Didolkar, Aniket, et al.
Publicado: (2024)
por: Didolkar, Aniket, et al.
Publicado: (2024)
Generalization in LLM Problem Solving: The Case of the Shortest Path
por: Tong, Yao, et al.
Publicado: (2026)
por: Tong, Yao, et al.
Publicado: (2026)
Solving Diffusion Inverse Problems with Restart Posterior Sampling
por: Ahmed, Bilal, et al.
Publicado: (2025)
por: Ahmed, Bilal, et al.
Publicado: (2025)
Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode
por: Jiang, Jinyang, et al.
Publicado: (2024)
por: Jiang, Jinyang, et al.
Publicado: (2024)
Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback
por: Anand, Avinash, et al.
Publicado: (2024)
por: Anand, Avinash, et al.
Publicado: (2024)
An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
por: Zeng, Taihelong, et al.
Publicado: (2025)
por: Zeng, Taihelong, et al.
Publicado: (2025)
The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search
por: Agostinelli, Forest
Publicado: (2026)
por: Agostinelli, Forest
Publicado: (2026)
GeoUni: A Unified Model for Generating Geometry Diagrams, Problems and Problem Solutions
por: Cheng, Jo-Ku, et al.
Publicado: (2025)
por: Cheng, Jo-Ku, et al.
Publicado: (2025)
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
por: Zhang, Jiawei, et al.
Publicado: (2024)
por: Zhang, Jiawei, et al.
Publicado: (2024)
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
por: Zhang, Ni, et al.
Publicado: (2025)
por: Zhang, Ni, et al.
Publicado: (2025)
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
por: Zhang, Cong, et al.
Publicado: (2024)
por: Zhang, Cong, et al.
Publicado: (2024)
Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem
por: Rodríguez-Corominas, Guillem, et al.
Publicado: (2026)
por: Rodríguez-Corominas, Guillem, et al.
Publicado: (2026)
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
por: Boetius, David, et al.
Publicado: (2024)
por: Boetius, David, et al.
Publicado: (2024)
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates
por: Akkerman, Fabian, et al.
Publicado: (2024)
por: Akkerman, Fabian, et al.
Publicado: (2024)
A Novel Approach to Solving Goal-Achieving Problems for Board Games
por: Shih, Chung-Chin, et al.
Publicado: (2021)
por: Shih, Chung-Chin, et al.
Publicado: (2021)
KNARsack: Teaching Neural Algorithmic Reasoners to Solve Pseudo-Polynomial Problems
por: Požgaj, Stjepan, et al.
Publicado: (2025)
por: Požgaj, Stjepan, et al.
Publicado: (2025)
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving
por: Cheng, Yao, et al.
Publicado: (2025)
por: Cheng, Yao, et al.
Publicado: (2025)
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
por: Spitzer, Philipp, et al.
Publicado: (2025)
por: Spitzer, Philipp, et al.
Publicado: (2025)
Learning Multiple Initial Solutions to Optimization Problems
por: Sharony, Elad, et al.
Publicado: (2024)
por: Sharony, Elad, et al.
Publicado: (2024)
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
por: Walder, Christian, et al.
Publicado: (2025)
por: Walder, Christian, et al.
Publicado: (2025)
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
por: Ye, Haoran, et al.
Publicado: (2023)
por: Ye, Haoran, et al.
Publicado: (2023)
Learning to Solve Resource-Constrained Project Scheduling Problems with Duration Uncertainty using Graph Neural Networks
por: Infantes, Guillaume, et al.
Publicado: (2025)
por: Infantes, Guillaume, et al.
Publicado: (2025)
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
por: Guo, Yifan, et al.
Publicado: (2024)
por: Guo, Yifan, et al.
Publicado: (2024)
Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting
por: Lingo, Ryan, et al.
Publicado: (2024)
por: Lingo, Ryan, et al.
Publicado: (2024)
Towards Robust and Interpretable EMG-based Hand Gesture Recognition using Deep Metric Meta Learning
por: Tam, Simon, et al.
Publicado: (2024)
por: Tam, Simon, et al.
Publicado: (2024)
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
por: Wang, Zhenwei, et al.
Publicado: (2024)
por: Wang, Zhenwei, et al.
Publicado: (2024)
Creative Problem Solving in Large Language and Vision Models -- What Would it Take?
por: Nair, Lakshmi, et al.
Publicado: (2024)
por: Nair, Lakshmi, et al.
Publicado: (2024)
Ejemplares similares
-
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
por: Tan, Zhentao, et al.
Publicado: (2024) -
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
por: Krishna, Satyapriya, et al.
Publicado: (2022) -
Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
por: Ghanem, Abdelghani, et al.
Publicado: (2026) -
Two Integration Pathways in Human-Centered Requirements Engineering: A Systematic Mapping Study of Structural Gaps
por: Benzarti, Imen, et al.
Publicado: (2026) -
Unsupervised Learning for Solving the Travelling Salesman Problem
por: Min, Yimeng, et al.
Publicado: (2023)