Titlebook: Data Science and Social Research; Epistemology, Method N. Carlo Lauro,Enrica Amaturo,Marina Marino Conference proceedings 2017 Springer Int

Foolproof

GUISE

BLAZE

Computational Data and Social Networksrs may influence the ability to walk, and no standard criteria are currently available to establish whether these factors are functioning within the “normal” range. Our work exploits data collected during the performance of an indoor mobility test to discriminate individuals at high risk of mobility

雀斑

Jiadong Chen,Xiaofeng Gao,Guihai Chen of powerful new concepts and tools to detect, analyse, and understand non-stationarity and apparently random behaviour. Almost all existing linear and nonlinear techniques used for the study of time series presume some kind of stationarity, but the application of such tools to non-stationarity and

discord

cortex

Xin Sun,Dachuan Xu,Dongmei Zhang,Yang Zhou strategies. Temporal Random Indexing (TRI), a specific DSM framework, is employed as computational tool to analyse word meaning change over time. Our resource is represented by the CompWHoB (Computational White House press Briefings) Corpus, a political diachronic corpus collecting the transcripts

Defiance

Yann Gavet,Johan Debayle,Jean-Charles PinoliAnswering the question posed by the title of this contribution might seem easy and straightforward: yes.

licence

慢跑鞋

遺傳學(xué)