The fair variants of machine learning techniques such as fair clustering models provide a solution to the biased data analysis problem. However, these models can produce fair, but less accurate results. Therefore, it is critical to analyze the performance of such fair clustering algorithms. In ...
In this paper, a new analytic methodology to evaluate wireless network accessibility performance through traffic measurements is provided. The procedure is based on ensemble clustering of network cells and on regression models. It leads to identification of zones where the accessibility remains high. ...
Performance estimation aims at estimating the loss that a predictive model will incur on unseen data. This process is a fundamental stage in any machine le
Thus, the objective of this work was to systematically evaluate the performance of propensity score matching-based approaches to estimate the odds ratio that characterizes the treatment-outcome association in the context of IPD-MA via simulation study. Our work was based on an IPD-MA that investiga...
Evaluating the overall performance of buildings has emerged as a trend in building engineering in recent years. Several programs that evaluate building performance have been developed or are being developed in different regions of the world. The building envelope performance assessment tool was initiated...
Hierarchical clustering analysis of reading aloud data: a new technique for evaluating the performance of computational models DOI: 10.3389/fpsyg.2014.00267 Serje Robidoux,Stephen C. Pritchard Keywords: computational modeling, reading aloud, hierarchical clustering, non-word reading Full-Text Cite this ...
We investigate the effect of using the pre-word embeddings with these models. Experimental results have shown that the use of word embeddings with deep neural networks effectively yields performance improvements in terms of run time and accuracy.doi:10.1002/cpe.4783...
Although we observed a strong therapeutic response in PDLOs, the performance of clinical-grade molecules in vivo may differ from what we observed here. This may be partly due to the focused nature of the system, which is lymphoid-cell dominant and does not incorporate circulating cells that ...
1. Assess the current state of scientific evidence A prediction model should at least have been validated once to assess its predictive performance in new patients or in a new setting. Subsequent diagnostic and therapeutic steps should also have a valid scientific base. 2. Verify the predictive ...
This would allow one to train the actual retrieval pipeline end-to-end, leading to higher performance than is currently possible with two-stage patch-based models. 2.4 Limitations of current writer retrieval methods The core limitation of patch-based writer retrieval is the forced usage of two-...