The use of batch means is a well-known technique for estimating the variance of mean point estimators computed from a simulation experiment. This paper discusses implementation of a sequential procedure to determine the batch size for constructing confidence intervals for a simulation estimator of the steady-state mean of a stochastic process. Our quasi-independent (QI) procedure increases the ...

A brief introduction is given to explain the fundamental idea of uniform design and measure of uniformity. A new variable selection procedure is proposed for the analysis of data obtained from uniform designs. This new procedure is distinguished from the traditional ones in the way that it simultaneously deletes insigni cant variables and estimates the coeÆcients of signi cant variables. This p...

This paper reports a comparison of calculated molecular properties and of 2D fragment bit-strings when used for the selection of structurally diverse subsets of a file of 44295 compounds. MaxMin dissimilarity-based selection and k-means clusterbased selection are used to select subsets containing between 1% and 20% of the file. Investigation of the numbers of bioactive molecules in the selected...

Minkowski Weighted K-Means is a variant of K-Means set in the Minkowski space, automatically computing weights for features at each cluster. As a variant of K-Means, its accuracy heavily depends on the initial centroids fed to it. In this paper we discuss our experiments comparing six initializations, random and five other initializations in the Minkowski space, in terms of their accuracy, proc...

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Özet. Yazılım teknolojileri hızla ilerlemekte ve buna paralel olarak hem kamu alanında hem de özel sektörde gerçekleştirilen yazılım projelerinin sayısı artmaktadır. Yazılım otomasyon projelerinden elde edilen en büyük çıktılardan birisi kuşkusuz ki üretilen verilerdir. Yüksek boyutlu, anlaşılması güç bu verilerin işlenerek, daha anlamlı ve yönlendirici verilere dönüştürülmesi önemli bir ihtiya...

In this paper, we describe our work at subtopic mining subtask in NTCIR-9 in simplified Chinese. To find possible subtopics of a specific query, we select related queries recorded by query log, or titles of searching results provided by Google and Baidu, or the catalog of corresponding entry in Baidu encyclopedia, which are lexically similar as the original query, then we apply k-means algorith...

The median-of-means is an estimator of the mean a random variable that has emerged as efficient and flexible tool to design robust learning algorithms with optimal theoretical guarantees. However, its use for clustering task suggests dividing dataset into blocks, which may provoke disappearance some clusters in blocks lead bad performances. To overcome this difficulty, procedure termed “bootstr...

The article is devoted to the topical issue of theory and practice criminal procedure: analysis problems legal regulation procedural coercive measures - detention arrest. authors outline both constitutional framework means topicalities their regulation, also summarize directives Council Europe Parliament. problem terms review has been defined, guarantees rights detained persons, incl. minor chi...