A recently developed machine learning algorithm referred to as Extreme Learning Machine (ELM) was used to classify machine control commands out of time series of spike trains of ensembles of CA1 hippocampus neurons (n = 34) of a rat, which was performing a target-to-goal task on a two-dimensional space through a brain-machine interface system. Performance of ELM was analyzed in terms of trainin...

This paper describes a novel approach to performance analysis for parallel and distributed systems that is based on soft computing. We introduce the concept of performance score representing the performance of code regions that is based on fuzzy logic. We propose techniques for fuzzy-based performance classification. A novel high-level query language is designed to support the search for perfor...

BACKGROUND Classification of the overall spectrum of congenital heart defects (CHD) has always been challenging, in part because of the diversity of the cardiac phenotypes, but also because of the oft-complex associations. The purpose of our study was to establish a comprehensive and easy-to-use classification of CHD for clinical and epidemiological studies based on the long list of the Interna...

Many transitive verbs have a so-called unaccusative alternant. The existence of such alternants raises the question of how the class of verbs that exhibit this alternation can semantically be characterized. In this paper a theory is presented in which the existence of unaccusative alternants is derived from basic semantic properties that are used for an aspectual interpretation of verbs. The th...

the study examines the relationship between the size of firms and their growth in iranian food and beverages industries. the study utilizes iranian industrial data, classified on the base of isic with 4-digit code. the study evaluates the validity of gibrat's law in the selected firms. the validity of the law has been examined by two methods. first, the panel analysis is applied and second...

BACKGROUND The timing of prophylactic antibiotic administration is a patient safety outcome that is recurrently tracked and reported. The interpretation of these data has important implications for patient safety practices. However, diverse data collection methods and approaches to analysis impede knowledge building in this field. This paper makes explicit several challenges to quantifying the ...

We show that any smooth Q-normal lattice polytope P of dimension n and degree d is a strict Cayley polytope if n ≥ 2d+ 1. This gives a sharp answer, for this class of polytopes, to a question raised by V. V. Batyrev and B. Nill.

We describe the construction of a class of toric varieties as spectra of homogeneous prime ideals.

Mining the Electronic Medical Record (EMR henceforth) is growing in popularity but still lacks good methods for better understanding the text in EMR. One important task is assigning proper International Classification of Diseases (ICD henceforth, which is the code schema for EMR) code based on the narrative text of EMR document. For the task, we propose an automatic feature extraction method by...