The classical set theory provides a method for comparing objects using cardinality and intersection, in combination with well-known resemblance coefficients such as Dice, Jaccard, and cosine. However, set operations are intrinsically crisp: they do not take into account similarities between elements. We propose a new general-purpose method for comparison of objects using a soft cardinality func...

Locating pairwise differences among treatment groups is a common practice of applied researchers. Articles published in this journal have addressed the issue of statistical inference within the context of an analysis of variance (ANOVA) framework, describing procedures for comparing means, among other issues. In particular, 1 article (Jaccard & Guilamo-Ramos, 2002b) presented some new methods o...

it is important to identify the genetic diversity and phylogenic relationships for achieving desirable citrus cultivars. in present investigation rapd markers were used to determine genetic diversity among 29 citrus genotypes. from 19 used primers, 248 polymorphic bands were amplified. primers opa-07 and opa-05 (with 19 and 8 amplified bands), produced maximum and minimum polymorphic bands, res...

Positive definite kernels are an important tool in machine learning that enable efficient solutions to otherwise difficult or intractable problems by implicitly linearizing the problem geometry. In this paper we develop a set-theoretic interpretation of the Earth Mover’s Distance (EMD) that naturally yields metric and kernel forms of EMD as generalizations of elementary set operations. In parti...

This work extends the study of Germann et al. (2010) in investigating the lexical organization of verbs. Particularly, we look at the influence of frequency on the process of lexical acquis ition and use. We examine data obtained from psycholinguistic action naming tasks performed by children and adults (speakers of Brazilian Portuguese), and analyze some characteristics of the verbs used by ea...

Counting the number of ones in a binary stream is a common operation in database, information-retrieval, cryptographic and machine-learning applications. Most processors have dedicated instructions to count the number of ones in a word (e.g., popcnt on x64 processors). Maybe surprisingly, we show that a vectorized approach using SIMD instructions can be twice as fast as using the dedicated inst...

In this paper we describe the three approaches we submitted to the Semantic Textual Similarity task of SemEval 2012. The first approach considers to calculate the semantic similarity by using the Jaccard coefficient with term expansion using synonyms. The second approach uses the semantic similarity reported by Mihalcea in (Mihalcea et al., 2006). The third approach employs Random Indexing and ...

In social data analytics, Virtual Community (VC) detection is a primary challenge in discovering user relationships and enhancing recommendations. VC formation used for personal interaction between communities. But the usual methods didn’t find Suspicious Behaviour (SB) needed to make VC. The Generalized Jaccard Behavior Similarity-based Recurrent Deep Neural Network Classification Ranking (GJS...

We present a new R package which takes a numerical matrix format as data input, and computes clusters using a support vector clustering method (SVC). We have implemented an original 2D-grid labeling approach to speed up cluster extraction. In this sense, SVC can be seen as an efficient cluster extraction if clusters are separable in a 2-D map. Secondly we showed that this SVC approach using a J...