A STUDY ON THE FEATURES SELECTION ALGORITHM BASED ON THE MEASUREMENT METHOD OF THE DISTANCE BETWEEN NORMAL DISTRIBUTIONS FOR CLASSIFICATION IN MACHINE LEARNING

Feature selection is an important technique that simplifies machine learning models to easily understand, shorten learning time, and reduce curve over-fitting or under-fitting.This paper presents a shape selection algorithm based on a method of investigating similarities between sampled shape values for classification variables (classes).This is ba

The basic amenity for a highly civilized community needs water and drainage facilities; with uncontrolled population outrage, there arises demand for water consumption which naturally leads to effluent discharge.Even though the district has ample landscape, smart drainage facilities, the rainwater and storm runoff are still collected as pumped sour

We recently reported that the terahertz (THz)-wave characteristics of pottery bodies varied significantly with firing temperature.This suggested the feasibility of conducting nondestructive inspection of the sinterability and manufacturing-process management of ceramics by THz-wave analysis.However, it is not clear why the THz-wave characteristics

Seismological, soil temperature and hydrological data from Mt.Vesuvius are collected to characterize the present-day activity of the volcanic/hydrothermal system and to detect possible unrest-related phenomena.We present patterns of seismicity and soil temperature in the crater area during the period February 2004-December 2011.The temporal distrib

Abstract Synaptic devices are necessary to meet the growing demand for the smarter and more efficient system.In this work, the anisotropic rhenium disulfide (ReS2) is used as a channel material to construct a synaptic device and successfully emulate the long-term potentiation/depression behavior.To demonstrate that our device can be used in a large