294. White box models in classification
Invited abstract in session WC-4: Optimization in regression, classification and learning I, stream Optimization in regression, classification and learning.
Wednesday, 10:05 - 11:20Room: M:M
Authors (first author is the speaker)
| 1. | Paula Amaral
|
| Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa | |
| 2. | Rui Malha
|
| Mathematic, SST-FCT NOVA | |
| 3. | Tiago Dias
|
| Department of Mathematics, NOVA School of Science and Technology | FCT NOVA |
Abstract
Machine learning models have been successfully applied in many situations, often without a critical perspective on these mechanisms. Black box models make it very difficult, if not impossible, to perform counterfactual analysis. Exploring other, more transparent machine learning techniques can be beneficial in situations where scrutinizing the model behind the results is important. In this presentation, we will discuss two perspectives: one based on the analysis of symbolic data and another that introduces a new classification model based on a cloud of spheres.
Keywords
- Optimization for learning and data analysis
- Artificial intelligence based optimization methods and appl
Status: accepted
Back to the list of papers