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3 results for “covariate shifts”
Probabilistic classification of Fermi LAT gamma-ray sources (effect of covariate shift)
<p>Version 1:</p> <p>These are data products connected to <a href="https://arxiv.org/abs/2307.09584">https://arxiv.org/abs/2307.09584</a>, where an analysis of the effect of covariate shift on the probabilistic classification of the Fermi LAT gamma-ray sources from the 4FGL-DR3 catalog is performed.</p> <p>The files </p> <p>4FGL-DR3_6class_GMM_nmin100_prob_cat.csv<br>4FGL-DR3_6class_GMM_nmin100_weighted_prob_cat.csv</p> <p>contain probabilistic classification into 6 classes (determined in <a href="https://arxiv.org/abs/2307.09584">https://arxiv.org/abs/2301.07412</a>) with random forest and neural networks methods. The catalog in "4FGL-DR3_6class_GMM_nmin100_weighted_prob_cat.csv" is constructed including weights for associated sources used in training in order to account for the difference in the distribution of associated (training dataset) and unassociated (target dataset) sources. The catalog in "4FGL-DR3_6class_GMM_nmin100_prob_cat.csv" is constructed with unweighted training samples.</p> <p>The files</p> <p>4FGL-DR3_6class_GMM_nmin100_summary.csv<br>4FGL-DR3_6class_GMM_nmin100_weighted_summary.csv</p> <p>contain the corresponding summaries of the definition of classes and predicted numbers of sources for the RF and NN algorithms for associated sources (averaged over cases when the sources are in the testing samples) and unassociated sources.</p> <p>Detailed description of the construction of the catalogs can be found in <a href="https://arxiv.org/abs/2307.09584">https://arxiv.org/abs/2307.09584</a>.</p> <p>Version 2: update for the Fermi LAT 4FGL-DR4 catalog.</p> <p>The filenames slightly change.<br>Probabilistic catalogs with unweighted and weighted training respectively:<br>4FGL-DR4_6classes_GMM_prob_cat.csv<br>4FGL-DR4_6classes_GMM_weighted_prob_cat.csv<br><br>The corresponding summary files:<br>4FGL-DR4_6classes_GMM_summary.csv<br>4FGL-DR4_6classes_GMM_weighted_summary.csv</p> <p>Version 3: catalogs corresponding to the published version of the paper. The filenames and the format are the same as in Version 2.</p>
Data From: Shifts in morphological covariation and evolutionary rates across multiple acquisitions of the trap-jaw mechanism in Strumigenys
<p class="MsoNormal">A long-standing question in comparative biology is how the evolution of biomechanical systems influence morphological evolution. The need for functional fidelity implies that the evolution of such systems should be associated with tighter morphological covariation, which may promote or dampen rates of morphological evolution. I examine this question across multiple evolutionary origins of the trap-jaw mechanism in the genus <em>Strumigenys</em>. Trap-jaw ants have latch-mediated, spring actuated systems that amplify the power output of their mandibles. I use Bayesian estimates of covariation and evolutionary rates to test the hypotheses that the evolution of this high-performance system is associated with tighter morphological covariation in the head and mandibles relative to non-trap-jaw forms and that this leads to shifts in rates of morphological evolution. Contrary to these hypotheses, there is no evidence of a large-scale shift to higher covariation in trap-jaw forms while different traits show both increased and decreased evolutionary rates between forms. These patterns may be indicative of many-to-one mapping and/or mechanical sensitivity in the trap-jaw LaMSA system. Overall, it appears that the evolution of trap-jaw forms in <em>Strumigenys</em> did not require a correlated increase in morphological covariation, partly explaining the proclivity with which the system has evolved.</p>
Data From: Shifts in morphological covariation and evolutionary rates across multiple acquisitions of the trap-jaw mechanism in Strumigenys
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