This is a simplified documentation ofRevisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping. Linear Mapping on LTSF Problem Definition.Given a historical time series observationX=[x1,x2
Despite significant advances in cloud workload prediction research, we find that there remains a substantial performance gap between existing specialized models and cutting-edge Long-term Time Series Forecasting (LTSF) models. In this paper, we conduct the first comprehensive evaluation of advanced LTSF...
Existing models for stock return prediction, such as Long Short-Term Memory (LSTM) networks [2], Recurrent Neural Networks [RNN; 3], Lasso regression [4], Multi-Layer Perceptron [MLP; 5], Support Vector Regression [SVR; 6], and Random Forest models [7], have been widely used. Recent ...
After demon- strating that some of this ill-conditioning can be avoided by adding more short and/or long term tenors to the fitting problem, we then argue that the most reli- able and efficient way to address the remaining ill-conditioning is by penalizing the reduced objective function, ...
Further, we control firm prior performance for firm long-term financial performance, measured by the firm's return on assets (ROA) with a one-year lagged variable (Li and Tang, 2010). Another measure of a firm's investment intangible assets is capital intensity, measured by a firm's ...
According to Dawisha, the migrants and long-term urban dwellers clashed, heightening the country's socioeconomic gulf (Dawisha 2013:119). Social policies introduced in 1964 included the nationalisation of banks, insurance companies and industries. The socioeconomic situation deteriorated (Dawisha 2013...
This is a simplified documentation ofRevisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping. Linear Mapping on LTSF Problem Definition.Given a historical time series observationX=[x1,x2,…,xn]∈Rc×nwithcchannels andntime steps, forecasting tasks aim to predict the next...
Multivariate time series data comprises various channels of variables. The multivariate forecasting models need to capture the relationship between the channels to accurately predict future values. However, recently, there has been an emergence of methods that employ the Channel Independent (CI) strategy...
both short-term, long-term, and interactive dynamic response among the three concepts are discussed in depth; third, empirical tests based on China's IS industry will provide an important basis for relevant authorities to formulate policy for the low-carbon development of the IS as well as othe...
(Spiess et al., 2016). Moraines, over-deepened U-shaped valleys,cirques, and hummocky terrain attest to long-term glacial modification of the landscape. Glaciological studies are limited but investigations along the south-central Gangdese Mountains (Chevalier et al., 2011;Dong et al., 2018),...