Keywords: cointegration; stationarity; non-stationarity; spurious problem; nearly non-stationarity JEL Classification: C01; C15; C22; C58; C601. Introduction Granger and Newbold (1974) and others show that regression of independent (nearly) nonstationary time series could result in spurious outcomes,...
Cisco UPOE extends the IEEE PoE+ standard to double the power per port to 60 watts. This facilitates delivery of network power to a broad range of devices requiring higher power, including virtual desktop terminals, IP turrets, compact switches, building management gateways, LED lights, ...
It has been widely used in classification, especially in text classification [35], sentiment classification [36] and speech classification and recognition [37]. In addition, the Bi-LSTMs are used in PM2.5 concentration prediction [38], and Load forecasting [39]. 2.1.4. GRU models GRU is ...
EN 301 908 Part 1/2/13 - WCDMA/LTE EN 301 511 - GSM AS/NZ: ACMA EMR, AS/CA S042.1, 4 -WCDMA, LTE MIC Article 2 Paragraph 1, Item 11-3,7,19 - GSM/WCDMA/LTE 2017.3.31 (RRA notice# 2017-3), (KS X 3123:2017), (KS X 3142:2018, draft)...
Choi, E., Bahadori, M. T., Schuetz, A., Stewart, W. F. & Sun, J. Doctor ai: Predicting clinical events via recurrent neural networks. InMachine Learning for Healthcare Conference, 301–318 (2016). Pham, T., Tran, T., Phung, D. & Venkatesh, S. Deepcare: A deep dynamic memory...
NJ-series CPU Unit Built-in W505 NJ501-@@@ Using the built-in Information on the built-in EtherCAT port is EtherCAT® Port User’s Man- NJ301-@@@ EtherCAT port on an provided. This manual provides an introduc- ual NJ-series CPU Unit. tion and provides information on the configu- ...
Therefore, the Im-BiLSTM model can effectively improve classification performance by jointly imputing missing data. The imputation results (the coefficient of determination values range 0.4 ∼ 0.9) indicated that the bands with the larger contribution to the classification had higher imputation accuracy...
Evolution of neural networks for classification and regression. Neurocomputing 70, 2809–2816 (2007). Article Google Scholar Yaghini, M., Khoshraftar, M. & Fallahi, M. A hybrid algorithm for artificial neural network training. Eng. Appl. Artif. Intell. 26, 293–301 (2013). Article ...
[18] used criteria based on the confusion matrix for binary classification [76] where TP are the True Positive, FP the False Positive, FN the False Negative, and TN the True Negative values. Those criteria/methods can only be applied if variables have been divided in classes. Alonso and ...
This standard supersedes the single-agency Position Classification Standard for the Internal Revenue Officer Series, GS-1169, dated June 1963.1. Classify positions that involve technical work concerning tax liability requiring discretion and independent judgment in the application of (a) a knowledge of ...