Summary of Active Partitioning: Inverting the Paradigm Of Active Learning, by Marius Tacke et al.
Active partitioning: inverting the paradigm of active learningby Marius Tacke, Matthias Busch, Kevin Linka, Christian…
Summary of Transfer Learning For Deep Learning-based Prediction Of Lattice Thermal Conductivity, by L. Klochko et al.
Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivityby L. Klochko, M. d'Aquin, A.…
Summary of Dynamic Retail Pricing Via Q-learning — a Reinforcement Learning Framework For Enhanced Revenue Management, by Mohit Apte et al.
Dynamic Retail Pricing via Q-Learning – A Reinforcement Learning Framework for Enhanced Revenue Managementby Mohit…
Summary of Leveraging Large Language Models and Topic Modeling For Toxicity Classification, by Haniyeh Ehsani Oskouie et al.
Leveraging Large Language Models and Topic Modeling for Toxicity Classificationby Haniyeh Ehsani Oskouie, Christina Chance,…
Summary of The Context Of Crash Occurrence: a Complexity-infused Approach Integrating Semantic, Contextual, and Kinematic Features, by Meng Wang et al.
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Featuresby Meng…
Summary of On the Erm Principle in Meta-learning, by Yannay Alon et al.
On the ERM Principle in Meta-Learningby Yannay Alon, Steve Hanneke, Shay Moran, Uri ShalitFirst submitted…
Summary of Enhancing Project Performance Forecasting Using Machine Learning Techniques, by Soheila Sadeghi
Enhancing Project Performance Forecasting using Machine Learning Techniquesby Soheila SadeghiFirst submitted to arxiv on: 26…
Summary of Automating Grapevine Lai Features Estimation with Uav Imagery and Machine Learning, by Muhammad Waseem Akram et al.
Automating grapevine LAI features estimation with UAV imagery and machine learningby Muhammad Waseem Akram, Marco…
Summary of Neural Networks Use Distance Metrics, by Alan Oursland
Neural Networks Use Distance Metricsby Alan OurslandFirst submitted to arxiv on: 26 Nov 2024CategoriesMain: Machine…
Summary of Spatio-temporal Causal Learning For Streamflow Forecasting, by Shu Wan et al.
Spatio-temporal Causal Learning for Streamflow Forecastingby Shu Wan, Reepal Shah, Qi Deng, John Sabo, Huan…