Abstract: This paper presents a method based on feature selection to obtain sets of human activity recognizers of different complexity.
This paper presents a method based on feature selection to obtain sets of Human Activity Recognizers of different complexity .
This paper presents a method based on feature selection to obtain sets of human activity recognizers of different complexity. Classifiers for human activity ...
This paper presents a method based on feature selection to obtain sets of Human Activity Recognizers of different complexity . Classifiers for human ...
This paper presents a method based on feature selection to obtain sets of Human Activity Recognizers of different complexity . Classifiers for human ...
Creating Human Activity Recognizers using Pareto-based Multiobjective Optimization ; ISBN · 9780769537184 ; Year of publication · 2009 ; Pages · 37-42 ; Type ...
Missing: Recognition Systems
The first idea to improve understandability of rule systems is to select a small subset from a large number of rules generated from data. A Pareto-based multi- ...
Oct 22, 2024 · This paper provides an overview of the existing research on multiobjective machine learning, focusing on supervised learning.
Dec 23, 2022 · In our proposed HARNAS method, we used NSGA-II as the multi-objective optimization and some simple methods as the surrogate model. The model is ...
Jul 1, 2023 · Abstract. This article presents the simulation results of a Multi Effect Desalination system coupled to a Mechanical Vapor Compression system.