Foutsitzis, Ch., & Demetriadis, S. (2013). Scripted collaboration to leverage the impact of algorithm visualization tools in online learning: results from two small scale studies. International Journal of e- Co
A geometric visualization can help us to understand the Grover rotation better. Let us introduce two vectors in the space HN: |α〉=1N−M∑xnot solution|x〉, |β〉=1M∑xsolution|x〉. It is clear that the vectors |α〉 and |β〉 are orthogonal. If we define angle θ by cosθ...
The development of custom interactive visualization tools for specific domains and applications has been made much simpler recently by a surge of visualization tools, libraries and frameworks. Most of these tools are developed for classical data science applications, where a user is supported in ...
Visualization : Good presentation of clustering output enhances the proper interpretation of the presented result and also aids the extraction of useful information. Good visual representation of clustering output aids interpretability of the same in the problem domain, thus assisting users in understanding...
Bottom row: visualization of ant detection results obtained from the U-Net trained using the FE-1’s annotations. Full size image In Table 2, we show the ensemble learning results for simple average ensemble, Random-NN-Fit35 and the proposed probabilistic NN-Fit. Clear improvement is achieved...
b Visualization. We plot how much each coupling Jij contributes to the prediction of the correlation function over different pairs of qubits in the trained ML model. Thicker and darker edges correspond to higher contributions. We see that the ML model learns to utilize the local geometric ...
His expertise resides primarily in the Python ecosystem, where he has honed his skills in machine learning algorithms, data analysis, visualization techniques, and hypothesis testing methodologies, including A/B and statistical analysis. Expertise
Polyphormsupports multiple visualization modalities to facilitate the analysis of the reconstructed Cosmic web estimate. Particle modedirectly renders the input data (red) and MCPM agents (white) as discrete points. While the data points are static, the agents flow dynamically through space. ...
The first visualization are several textual explanations that the tool inserts in the display of the source code captured by the camera (see Fig. 1). These explanations help the user in interpreting and identifying which pieces of source code perform certain functions of the greedy schema. Fig...
Since hurricanes usually last at least 12 hours and are considered two independent storms if they last longer than 3 days, we set the "minimum interval length" to 12 and the "maximum interval length" to 72. In order to keep the visualization clean and the analysis easy, we set the "numb...