It involves identifying a page on your site that you want to change in order to achieve a specific goal. In most cases, your goal will be to increase clicks on a specific conversion-focused element. Then, it requires creating two variations of that page (Variation A and Variation B), wit...
Since the explanations based on a single machine learning model using a specific explanation method can be biased over that model/method, a novel framework is proposed to provide a model-agnostic explanation utilising various explanation methods for multiple almost-equally-accurate models. These near-o...
Here we model the generation of events that have not been experienced from the generative network’s latent variables. Events can be generated either by external specification of latent variables (imagination) or by transforming the latent variable representations of specific events (relational inference)...
Considering the performance and additional features of the methods, decision-tree-based scenario-specific recommendations and guidelines for method selection were proposed for users. We found that the performance of the 18 methods varied among multiple spatial transcriptomics technologies with different ...
This might be because there have been missing statistical modeling approaches that can consider multiple factors from the dynamically changing traffic environment and the varied geometric conditions through different work zones. Also, real-time prediction in work zones hasn’t drawn sufficient attention. ...
The estimated average effect of a specific REM can be roughly interpreted as the average predictability of this metabolite over a new set of microbiome-metabolome studies. Smaller P values indicate higher confidence that the mean effect is indeed robust across a wide range of studies and cohorts....
We can call the second type “multi-stage ensemble”, where different models are used at specific stages of prediction (e.g., one will be used for input selection and other one(s) for prediction employing those inputs, or one will be used to optimize the structure of the other). “...
The output of the classification model is the probability that material belongs to a specific pre-defined class and should not be treated as the indication of values of true property. Due to this limitation, the estimation of true property can only be obtained through the regression model, or ...
We statistically infer the entropy of each language model as an index of what we call average prediction complexity. We compare complexity rankings across corpora and show that a language that tends to be more complex than another language in one corpus also tends to be more complex in another...
typically associated with a variety of symptom presentations or combinations thereof (Giromini et al.,2020b; Viglione et al.,2019). This design therefore also allowed us to test the cross-cultural validity of this specific feature of IOP–29. Finally, we tested the classification accuracy of ...