Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization
Recent advances in automatic machine learning (aML) allow solving problems without any
human intervention. However, sometimes a human-in-the-loop can be beneficial in solving …
human intervention. However, sometimes a human-in-the-loop can be beneficial in solving …
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop
The goal of Machine Learning to automatically learn from data, extract knowledge and to
make decisions without any human intervention. Such automatic (aML) approaches show …
make decisions without any human intervention. Such automatic (aML) approaches show …
Towards interactive Machine Learning (iML): applying ant colony algorithms to solve the traveling salesman problem with the human-in-the-loop approach
Abstract Most Machine Learning (ML) researchers focus on automatic Machine Learning
(aML) where great advances have been made, for example, in speech recognition …
(aML) where great advances have been made, for example, in speech recognition …
A fuzzy approach of sensitivity for multiple colonies on ant colony optimization
In order to solve combinatorial optimization problem are used mainly hybrid heuristics.
Inspired from nature, both genetic and ant colony algorithms could be used in a hybrid …
Inspired from nature, both genetic and ant colony algorithms could be used in a hybrid …
MetrIntPair—A Novel Accurate Metric for the Comparison of Two Cooperative Multiagent Systems Intelligence Based on Paired Intelligence Measurements
In this paper, we propose a novel metric called MetrIntPair (Metric for Pairwise Intelligence
Comparison of Agent‐Based Systems) for comparison of two cooperative multiagent …
Comparison of Agent‐Based Systems) for comparison of two cooperative multiagent …
Sensitive ant algorithm for edge detection in medical images
Nowadays, reliable medical diagnostics from computed tomography (CT) and X-rays can be
obtained by using a large number of image edge detection methods. One technique with a …
obtained by using a large number of image edge detection methods. One technique with a …
Admissible perturbation of demicontractive operators within ant algorithms for medical images edge detection
Nowadays, demicontractive operators in terms of admissible perturbation are used to solve
difficult tasks. The current research uses several demicontractive operators in order to …
difficult tasks. The current research uses several demicontractive operators in order to …
Effects of different dynamics in an ant colony optimization algorithm
Finding shortest path in a labyrinth, made up of roads, crosses and dead ends, and where
entrance and exit dynamically change during the time, is an important and challenging …
entrance and exit dynamically change during the time, is an important and challenging …
Detecting Outlier Intelligence in the behavior of intelligent coalitions of agents
In our research, we consider the measuring of machine intelligence based on the
intelligence (ability to solve various tasks in high efficiency, with a grade of flexibility and …
intelligence (ability to solve various tasks in high efficiency, with a grade of flexibility and …
On the resilience of ant Algorithms. Experiment with adapted MMAS on TSP
This paper focuses on the resilience of a nature-inspired class of algorithms. The issues
related to resilience fall under a very wide umbrella. The uncertainties that we face in the …
related to resilience fall under a very wide umbrella. The uncertainties that we face in the …