It also includes a series of object classification and tag recommendation experiments as case studies of two important information retrieval tasks, aiming at analyzing how these tasks are affected by the quality of the textual features.
For evaluating our proposed method, we have conducted tag recommendation experiments on three real datasets and the results show that the ROBIN-T algorithm achieves good performance when compared with classical approaches.
We found that, like clinicians (Kim et al., 2016), laypeople endorse different explanations for mental disorders in the abstract and in the concrete (Experiments 1 and 2), which can even lead to different treatment recommendations (Experiment 3).
These recommendations concerning experiments in anticipatory governance are summarized in Table 5 and described in more detail below.
Information analysis and decision support recommendations Conduct experiments to help identify effective features of decision support and information visualization tools.
Phenomena, simulation results and methodology for selection of the test parameters are discussed in detail and recommendations for experiments are provided.
In this light, our recommendations for experiments in anticipatory governance imply a move in ELSI research towards a less antagonistic stance, contributing in a critical as well as collaborative way to discussions on how – and under what conditions – SynBio might address important problems and goals of human and global public health.
Schreurs et al. (2001) recommended that the size of bone chips should be 7 10 mm on the acetabular side and we followed this recommendation in our experiment, so a rongeur with optimal bite of 10 mm was used.
With these ideas in mind, we developed a data-driven experiment recommendation system to identify the minimal set of maximally informative experiments for functional characterization of the S. bayanus genome based on the S. cerevisiae gene-expression literature (Guan et al. 2010).
In the experiments, recommendation accuracy was sensitive to the parameters.
