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Found 4 papers, 2 papers with code
Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification
In this paper we present a Twin Parametric-Margin Support Vector Machine (TPMSVM) model to tackle the problem of multiclass classification.
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
Bayesian Optimization (BO) is a class of black-box, surrogate-based heuristics that can efficiently optimize problems that are expensive to evaluate, and hence admit only small evaluation budgets.
RDF2Vec: RDF Graph Embeddings and Their Applications
Linked Open Data has been recognized as a valuable source for background information in many data mining and information retrieval tasks.
Ranked #2 on
Node Classification
on BGS
Electre Tri-Machine Learning Approach to the Record Linkage Problem
In this short paper, the Electre Tri-Machine Learning Method, generally used to solve ordinal classification problems, is proposed for solving the Record Linkage problem.
