Exploring Machine Learning Needs Mathematical Optimization With Prof Paula Brito
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- Speaker1: Marcela Galvis Restrepo Copenhagen Business School, Denmark: "Improving the interpretability and fairness of ...
- Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions.
- Speaker 1: Sandra Benítez Peña,Universidad Carlos III de Madrid, Spain. "A clustered approach to Data Envelopment Analysis" ...
- Abstract: Advances in
- Speaker 1: Marta Monaci, Sapienza University of Rome, Italy. "Maximum Margin Optimal Classification Trees" Speaker 2: Bo Peng ...
In-Depth Information on Machine Learning Needs Mathematical Optimization With Prof Paula Brito
Abstract: In classical Statistics and Multivariate Data Analysis data is usually represented in a data array where each row ... Speaker1: M. Remedios Sillero-Denamiel School of Computer Science and Statistics Trinity College, Dublin: "On linear ... Machine Learning NeEDS Mathematical Optimization Speaker1: 16:30 Kseniia Kurishchenko Copenhagen Business School (Denmark) "Clustering and Interpreting via
Speaker 1: Adrián Carrasco Revilla, Inetum, España. "Building replicable models for energy grid management: A Graph Approach ...
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