The created decision tree can easily be visualized and thus the algorithm's results be compared and validated. Nonetheless, the approach and ismodel agnostic, which means any other model could be explained. This
The longest match number string dial-peer algorithm finds the dial-peer with the most numbers in a sequence that exactly match a sequence of numbers in a number string. This concept is clarified in the subsequent scenario. Scenario: Eligible dial-peers have been configured with th...
Deep learning example with DeepExplainer (TensorFlow/Keras models) Deep SHAP is a high-speed approximation algorithm for SHAP values in deep learning models that builds on a connection withDeepLIFTdescribed in the SHAP NIPS paper. The implementation here differs from the original DeepLIFT by using a...
The optimizer uses the smaller of the two tables or data sources to build a hash table, based on the join key, in memory. It then scans the larger table, and performs the same hashing algorithm on the join column(s). It then probes the previously built hash table for each value and ...
The eigenvalues were additionally analyzed using a knee-point detec- tion algorithm available via the 'SamSPECTRAL' R package (Zare et al. 2015), which also suggested a 2-factor solution. A 2-factor factor analysis with varimax rotation was conducted to evaluate which dis- patch categories ...
A value of 'TQ PUSHDOWN' indicates that the bit filter operation has been pushed down. This argument will not be included at all when the optimizer does not use a pushdown with the hash join. GREEDY TRUE Indicates whether the optimizer used a greedy algorithm to plan access. GLOBLOCK ...
We used a random forest algorithm in combination with phylogenetic trait imputation to fill gaps in the trait data and not omit missing data (Penone et al. 2014). To strengthen the predictive power of the model, we used the missForest::misForest() function (Stekhoven 2022) and phylogenetic ...
Schematic of the steps in the simulation, according to the order described in the algorithm.a(i) Patrilineal (PT) starting conditions, where cultural groups strictly determine haplogroup type.a(ii) The non-patrilineal (NPT) condition where they are perfectly uncorrelated.bThe killing step, with ...
A single HMM was fit to all correct trials per session, yielding emission probilities and transition probabilities between patterns, optimized via the Baum-Welch algorithm with a fixed number of hidden patterns M (iterative maximum likelihood estimate of parameters and latent patterns given the ...
The SOM is a competitive learning algorithm that tries to find a low-dimensional representation of the data in such a way that the topological ordering properties of the original data are preserved. These two models are analyzed in Supplementary Information Sect. 5, where both models are compared...