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Found 5 papers, 1 papers with code
Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching
Ontology Matching (OM) plays an important role in many domains such as bioinformatics and the Semantic Web, and its research is becoming increasingly popular, especially with the application of machine learning (ML) techniques.
Hands-off Model Integration in Spatial Index Structures
Spatial indexes are crucial for the analysis of the increasing amounts of spatial data, for example generated through IoT applications.
COAX: Correlation-Aware Indexing on Multidimensional Data with Soft Functional Dependencies
The initial work on learned indexes has shown that by learning the cumulative distribution function of the data, index structures such as the B-Tree can improve their performance by one order of magnitude while having a smaller memory footprint.
Multi-View Learning for Web Spam Detection
In order to design a multi-view classification system, we used state-of-the-art spam classification methods with distinct feature sets (views) as the base classifiers.
