iconLogo
Published:2025/12/25 7:06:53

ウェル群でIT業界を救う!?データ分析の未来✨

超要約:データの頑丈(ロバスト)性UP!IT業界をブチアゲ🚀

ギャル的キラキラポイント✨

● データ解析(かいせき)の精度(せいど)が爆上がりする予感!😍 ● ノイズに強いAIとか、最強じゃん?😎 ● 新しいビジネスチャンスがゴロゴロ転がってるってこと💖

詳細解説

続きは「らくらく論文」アプリで

Sufficient Conditions for the Shrinking Wellness Lemma

Clemens Bannwart

The well groups were introduced by Edelsbrunner, Morozov, and Patel to measure the robustness of geometric features of a function with respect to perturbations. Roughly speaking, the $r$-th well group measures the number of features that cannot be removed by perturbing the function by at most $r$. The Shrinking Wellness Lemma states that the rank of these groups decreases as $r$ increases. In the generality originally stated, it is wrong. We present a counterexample and give conditions under which the result holds. These conditions are general enough to cover most cases in which the well groups have been applied.

cs / math.GN / cs.CG / math.GR