Search Results for author:
Found 3 papers, 0 papers with code
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks
Research and education in machine learning needs diverse, representative, and open datasets that contain sufficient samples to handle the necessary training, validation, and testing tasks.
The Strategy Evolution in Double Auction Based on the Experience-Weighted Attraction Learning Model
The double auction is a widely applicable trading mechanism used to converge to competitive equilibrium in different markets from which multiple equilibriums and incomplete information may arise.
Managing Multi-Granular Linguistic Distribution Assessments in Large-Scale Multi-Attribute Group Decision Making
Linguistic large-scale group decision making (LGDM) problems are more and more common nowadays.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
