本ページでは「Analyzing Neural Time Series Data Theory and Practice」（Mike X. Cohen and Jordan Grafman）のChapter33をベースに、ノンパラメトリックPermutation testについて、説明をしていきます。ノンパラメトリック検定については前回のnoteで紹介していますので、そちらをご覧 ...

Permutation Importanceとは、機械学習モデルにおける各特徴量の重要度を客観的に評価するための手法です。モデルが学習済みである前提で、特定の特徴量をシャッフルした際にモデルの性能がどれだけ低下するかを測定し、特徴量の重要度を算出します。

The spectral properties of special matrices have been widely studied, because of their applications. We focus on permutation matrices over a finite field and, more concretely, we compute the minimal ...

Department of Mathematics and Computer Science, University of the Philippines, Baguio City, Philippines. Department of Mathematics, De La Salle University, Manila, Philippines. to mean that for. We ...

Abstract: Shapes provide a rich set of clues on the identity and topological properties of an object. In many imaging environments, however, the same object appears to have different shapes due to ...

The original order is a,b,c. Applying the permutation 2,3,1 gives the new order b,c,a. The inverse permutation of 2,3,1 is 3,1,2. Applying this to the new order returns the original order. However, ...

In first part of this series, we discussed about the importance of Permutation and Combination and about Permutation topic. In this part, we are going to discuss ...