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104  Articles
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The reliance on data and the high cost of data labelling are the main problems facing deep learning today. Active learning aims to make the best model with as few training samples as possible. Previous query strategies for active learning have mainly used... see more

The reliance on data and the high cost of data labelling are the main problems facing deep learning today. Active learning aims to make the best model with as few training samples as possible. Previous query strategies for active learning have mainly used... see more

This paper presents a simple method to reduce performance loss due to a parallel program's massive critical sections of parallel numerical integration. The method transforms a fine-grain parallel loop into a coarse grain parallel loop that nests a sequent... see more

The goal of this paper is to provide both a description and an explanation of the combination of minimizers (ligeramente 'slightly') with gradable adjectives in Spanish. According to Kennedy & McNally (2005) these elements are degree items that are sensit... see more

A new method for the big data analysis - multi-granularity generalized functions data model (referred to as MGGF for short) is put forward. This method adopts the dynamic adaptive multi-granularity clustering technique, transforms the grid like ... see more

Motion estimation is a process to determine the movement of an object on video sequential. The movement of objects is known as motion vector. A motion vector indicates a shift point between the current frame with the reference frame. Of motion vector is o... see more

The aim of the present paper was to provide information about the way in which physical, biochemical and technological properties of the rye flour influence its baking quality. We analyzed the influence of granularity, pentosans content, gelling propertie... see more

Sequential pattern mining is an important data mining problem that can extract frequent subsequences from sequences. However, the times between successive items in a sequence is typically used as user-specified constraints to pre-process the input data or... see more

The study was made in order to establishing qualitative indexes of concentrate feeds made by hummer mill MB-7,5 equipped with 3 type of sieves and 2 type of hummers on mill rotor.  Granularity tests were made by Sieving Machine AS-300 with 4 sieve-p... see more

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