Sentence examples for for both supervised from inspiring English sources
In this work, the gait recognition problem is studied in a unified way applicable for both supervised and unsupervised configurations.
The classification results for both supervised SVM and unsupervised clustering are slightly less superior with the 58-gene set (Table 4) than with the 39- or the 30-gene set (Tables 2 and 3).
This is a limitation for both supervised and unsupervised methods.
In addition, since the inclusion of all the available variables could potentially lead to a less accurate model, we explored whether selecting subsets of variables improved classification, for both supervised and unsupervised methods.
Here, we propose Supervised Fuzzy Sarsa Learning (SFSL) as a novel idea for utilizing advantages of both supervised and reinforcement learning algorithms.
He also stressed the need to develop automated heuristics for both fast supervised curation of existing models and for the construction of new metabolic models.
The required number of sessions must be achieved within a period of 15 weeks for both the supervised and home exercise training programs, allowing for intercurrent illness and other factors that may impact on an individual's ability to attend sessions.
The article concludes by an overview of the most successful deep architectures proposed in the literature, both for supervised and unsupervised learning.
This novel approach and a new way of performing suppression (based on the usefulness of the evolving lymphocytes) in clonal selection result in a very effective and stable immune algorithm for both unsupervised and supervised learning.
This chapter gives an overview of the iAUI (for both autonomous and supervised control) within the complete BCI system, the iAUI architecture, flowchart, iAUI operation in an example scenario, interfacing MATLAB and Visual Basic, and also introduces an intelligent interface for a robot arm control.
This study investigates multiple-biomarker tensors and illustrates how they can be used for both unsupervised and supervised learning models.
