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Found 5 papers, 2 papers with code
Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT and GPT-4 for Mining Insights at Scale
In this paper, we apply and evaluate the combination of ChatGPT and GPT-4 for the real-world task of mining insights from a text corpus in order to identify research challenges in the field of HCI.
Minimal Learning Machine for Multi-Label Learning
Distance-based supervised method, the minimal learning machine, constructs a predictive model from data by learning a mapping between input and output distance matrices.
Knowledge Discovery from Atomic Structures using Feature Importances
Molecular-level understanding of the interactions between the constituents of an atomic structure is essential for designing novel materials in various applications.
Scalable Initialization Methods for Large-Scale Clustering
In the experiments, comparison of the proposed methods to the K-means++ and K-means|| methods is conducted using an extensive set of reference and synthetic large-scale datasets.
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
Specifically, for a small number of reference points, the clustering-based methods outperformed the standard random selection of the original MLM formulation.
