"Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models" (Lengerich, B., Tan, S., Chang, C.H., Hooker, G. and Caruana, R., 2020) @inproceedings{lengerich2020purifying, title={Purifying interaction effects with the functional ano...
The algorithm isn't simply returning the values that account for the biggest amount of the change. For example, if the vast majority (98%) of sales came from the USA, then it would commonly be the case that the vast majority of the increase was also in the USA. Yet unless the USA ...
Model fitting to experimental data was done by nonlinear curve-fitting in the least-squares sense using the Levenberg-Marquardt algorithm (MATLAB built-in function). Briefly, the best-fitting parameter set was derived by fitting model to mean value of bond lifetime vs force profile, and SE of...
This work is important because sometimes a mathematical theory can make accurate predictions about the real world up to a point but not actually reflect the real world context. A nice example is from cosmology in the late 16thCentury, when mathematical models of the universe with the Earth or ...
for example, by functioning as a repressor of HEI10 away from the foci. They could then exhibit coarsening behaviour along with HEI10. Our model could easily be generalised into such a form. However, such proteins are clearly not logically required to explain CO positioning, as our model, wh...
neural net- works, many theoretical breakthroughs have been made progressively, including studying the properties of stochas- tic gradient descent [31], different complexity measures [46], generalization gaps [50], and many more from differ- ent mode...