Geert P M Wets
Biographic Data
| ID | 1520396 |
|---|---|
| NAME | Geert P M Wets |
| GIVEN NAMES | Geert P M |
| FAMILY NAME | Wets |
| SIGNATURE | WETS G P M |
| AFFILIATIONS | Transnational University Limburg |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2005 |
| H-INDEX | 1 |
The Impact of Simplification in a Sequential Rule-Based Model of Activity-Scheduling Behavior
The aim of this paper is to gain a better understanding of the impact of simplification on a sequential model of activity-scheduling behavior which uses feature-selection methods. To that effect, the predictive performance of the Albatross model, which incorporates nine different facets of activity-travel behavior, based on the original full decision trees, is compared with the performance of the model based on trimmed decision trees. The results…
The Impact of Simplification in a Sequential Rule-Based Model of Activity-Scheduling Behavior
The aim of this paper is to gain a better understanding of the impact of simplification on a sequential model of activity-scheduling behavior which uses feature-selection methods. To that effect, the predictive performance of the Albatross model, which incorporates nine different facets of activity-travel behavior, based on the original full decision trees, is compared with the performance of the model based on trimmed decision trees. The results…
The Impact of Simplification in a Sequential Rule-Based Model of Activity-Scheduling Behavior
The aim of this paper is to gain a better understanding of the impact of simplification on a sequential model of activity-scheduling behavior which uses feature-selection methods. To that effect, the predictive performance of the Albatross model, which incorporates nine different facets of activity-travel behavior, based on the original full decision trees, is compared with the performance of the model based on trimmed decision trees. The results…
Artificial Intelligence (1 work) · Computer Science (1 work) · Decision model (1 work) · Decision tree (1 work) · Feature selection (1 work) · Machine learning (1 work) · Mathematical optimization (1 work) · Mathematics (1 work) · Predictive power (1 work) · Transportation and Mobility Innovations (1 work)