The authors present a systolic algorithm and its variations for the k-nearest neighbors problem (kNNP). Multiple-shot queries with different ranges (k values) can be served in a pipelined fashion.

2023年10月30日 · This repository contains an implementation of the kNN-P classifier, an enhanced version of the k-nearest neighbors algorithm utilizing membrane computing. kNN-P is designed for parallel and distributed computing, which can improve the performance of the original k-nearest neighbors algorithm for classification tasks.

2023年10月30日 · This repository contains an implementation of the kNN-P classifier, an enhanced version of the k-nearest neighbors algorithm utilizing membrane computing. kNN-P is designed for parallel and distributed computing, which can improve the performance of the original k-nearest neighbors algorithm for classification tasks.

1992年1月1日 · The algorithm can solve a multiple-shot kNNP in N+2 square root N*K systolic steps using square root N*K processing elements, where N is the problem size (i.e. the number of points), and K is the sum of all k-values.

One of them is predicting values with k-nearest neighbors algorithm and the other is optimizing the parameters k and d of the algorithm. These are carried out in parallel using multiple threads. License AGPL-3 URL https://github.com/Grasia/knnp BugReports https://github.com/Grasia/knnp/issues

2019年8月20日 · 本文介绍了KNN算法中的超参数，包括选择合适的k值、考虑距离权重的KNN以及使用曼哈顿和欧氏距离。 通过网格搜索法来寻找最佳的超参数组合，强调了在确定超参数范围时要注意边界情况，并探讨了距离度量中的p参数对模型的影响。 2. 网格搜素以及kNN中的更多超参数. KNN_classifier = KNeighborsClassifier(n_neighbors=k) KNN_classifier.fit(X_train, y_train) score = KNN_classifier.score(X_test, y_test) best_score = score. best_k = k. 文章浏览阅 …

2020年5月12日 · In this paper we propose a k -nearest neighbors (kNN) classifier optimized by P systems, called kNN-P, which can improve the performance of the original kNN classifier. A P system consisting of multiple cells is considered as its computational framework.

In this paper we propose a k-nearest neighbors (kNN) classifier optimized by P systems, called kNN-P, which can improve the performance of the original kNN classifier. A P system consisting of multiple cells is considered as its computational framework. Under the control of both evolution rules and communication rules, each cell determines the optimal set of …

研究表明，UBP12和UBP13参与调控GI、ZTL 、TOC1、MYC2等多种蛋白的稳定性及下游基因表达。 UBP12和UBP13的突变会导致植物早花及节律周期降低，降低 莲座叶 数目，双突变体会导致胚胎致死【4】。 但目前，UBP影响植物生长发育的分子机制仍不清楚。

2019年8月9日 · 在本研究中，我们利用 NMR 和分子建模技术确定了 USP20 ZnF-UBP 结构域的溶液结构，并研究了其与单泛素和多泛素（K48 连接的双泛素）的结合特性。