"Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models" (B. Lengerich, S. Tan, C. Chang, G. Hooker, R. Caruana 2019) @article{lengerich2019p
One way we've done this in the past is by applying isotonic regression (the Pool-Adjacent-Violators Algorithm or PAV) on the graphs that need to be monotonic. We'll leave this issue open to track the demand for this feature, and will update this thread once we've made some progress ...
The algorithm The characterization of a unit cell with cell2mol only requires its crystallography file (i.e., the cif). After an initial formatting with the cif2cell code38, the characterization proceeds in two main steps (see detailed workflow in Supplementary Note 1). The goal of step ①...
We developed an alternating least squares (ALS) algorithm for estimating parameters of the convex GSCA model, which does not require standardizing blocks of indicators that have the same measurement scales within the blocks. The algorithm not only enables information on the variances of each block ...
Furthermore, when aggregating the severity, the algorithm ignores the GR of increase. 3.2.2 Total Dissolved Combustible Gas (TDCG) A sudden increase in DG in PT oil is assumed to be the result of an internal problem. A four-level criterion was 13 Journal of Electrical Engineering & ...
"Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models" (B. Lengerich, S. Tan, C. Chang, G. Hooker, R. Caruana 2019) @article{lengerich2019purifying, title={Purifying Interaction Effects with the Functional ANOVA: An Efficient Al...
"Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models" (B. Lengerich, S. Tan, C. Chang, G. Hooker, R. Caruana 2019) @article{lengerich2019purifying, title={Purifying Interaction Effects with the Functional ANOVA: An Efficient ...