In this paper we present a novel classifier which integrates a multilayer perceptron and a error-correcting decoder. There are two stages in the classifier, in the first stage, mapping feature vectors from feature space to code space is achieved by a multilayer perceptron; in the second stage, error correcting decoding is done on code space, by which the index of the noisy codeword can be obtai...

This paper analyzes the transmission mechanisms of a contractionary monetary policy shock on the real economy. The sufficiently long regime uniform time period since the political transformation in the Czech Republic provides evidence for effective inflation targeting by the Czech National Bank. I apply a recursive vector autoregression (VAR), a structural VAR, and structural vector error corre...

We examine the statistical power of fundamental and behavioral factors with regards to stock returns of the Dow Jones Industrials Index. With a novel sentiment dataset from over 3.6 million Reuters news articles, we nd signi cant correlations between Reuters sentiment and stock returns. We show with vector autoregression and error correction models that sentiment can explain and predict changes...

Abstract The maritime industry is significant to the growth and development of nations. relationship between shipping trade economic in Nigeria acknowledged literature. Still, need emphasise role import export volume exchange rate volatility Nigeria’s remains. level that a nation will derive from its ocean depends on volumes face volatility. Using Vector Error Correction Model, this study analy...

In this paper, we describe the use of lexical and semantic features for topic classification in dictated medical reports. First, we employ SVM classification to assign whole reports to coarse work-type categories. Afterwards, text segments and their topic are identified in the output of automatic speech recognition. This is done by assigning work-type-specific topic labels to each word based on...

We examine the explanatory and predictive power of fundamental macroeconomic and behavioral factors with regards to stock returns of the Dow Jones Industrials Index. With a novel sentiment dataset from over 3.6 million Reuters news articles, we nd signi cant correlations between Reuters sentiment and stock returns. We show with vector autoregression and error correction models that Reuters sent...

Sugarcane plays an important role in the government of Tanzania’s aim becoming sugar-sufficient; however, sugar production remains low country despite numerous interventions undertaken by successive governments. The study adopted vector error correction model (VECM) to examine acreage supply response sugarcane out-growers changes price and non-price factors using time-series data spanning 30 ye...