nndd+dmcはニコニコ動画にアップロードされた動画の視聴およびダウンロード/管理をするための自由ソフトウェアです。 動画の視聴, 保存に加え, ランキングの表示や動画の検索, マイリストの管理を行うことが出来ます。

2008年1月1日 · The results show that parameter θ-considerably influences the performance of PNN–DDA for novelty detection, and furthermore, that PNN–DDA achieves performance comparable to NNDD with the advantage of producing much smaller classifiers.

2020年2月16日 · 1、uln2003的简介 uln是集成达林顿管ic，内部还集成了一个消线圈反电动势的二极管，可用来驱动继电器。 ULN2003具有电流增益高、 工作 电压高、温度范围宽、带负载能力强等特点，适应于各类要求高速大功率 驱动 的系统，所以ULN2003作为 驱动 大电流负载芯片使用。

2008年1月22日 · In this paper, we propose two novel methods for one-class classification, referred to as NNDDSRM and kNNDDSRM. The methods are based on the principle of structural risk minimization and the nearest neighbor data description (NNDD) one-class classifier.

It is based on the principle of structural risk minimization and the nearest neighbor data description (NNDD) method. Experiments carried out using both artificial and real-world datasets show that the proposed method is able to significantly reduce the number of stored prototypes in comparison to NNDD.

estimates the average treatment effect by applying nearest neighbour matching (NN) and difference in differences (DD). The nearest neighbours are matched by estimating a GLM over an individual time span. In the following a liner model is estimated with a difference in differences setup. Each estimation (NN or DD) can depend on different covariates.

nndd: Nearest Neighbour Matching (NN) followed by a Linear Model with Difference in Differences (DD) /

nnddメインウィンドウで前回起動時に選択していたタブを記憶するようにした ライブラリフォルダが存在しない場合に保存先をリセットするよう処理を変更

2019年5月2日 · Search the nndd package Vignettes Nearest Neighbour Matching (NN) followed by a Linear Model with Difference in Differences (DD)

In this paper, the universal learning network (ULN) is presented, which models and controls large scale complicated systems such as industrial plants, economics, social and life phenomena. The computing method of higher order derivatives of ULN is derived in …