نتایج جستجو برای: optimization algorithmis iteratively run since a pre
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We incorporate structural modelers into the economy they model. Using traditional moment matching, treat policy changes as zero probability (or exogenous) “counterfactuals.” Bias occurs since real-world agents understand are positive events guided by modelers. Downward, upward, or sign bias occurs. is illustrated calibrating Leland model to 2017 tax cut. The identifying assumption, constant par...
This study examines the long run relationship between the efficiency component (good market efficiency and labor market efficiency) in the global competitiveness index and the variables of economic success (economic growth and unemployment) by using new econometric methods in selected countries of Asia with the average upward Global Competitiveness Index. This study, in the framework of the Pan...
bserved by many teachers that most of the time, mumbling and searching for their intended words, students complain why they have forgotten the words they have learned in the previous semesters. they ask for some new ways that may help them to recall and apply the learned words more efficiently, since as they declare one of the most important skills in foreign language learning is having a g...
We propose a novel method for reducing the number of variables in quadratic unconstrained binary optimization problems, using a quantum annealer to fix the value of a large portion of the variables to values that have a high probability of being optimal. This method significantly increases the success rate and number of observations of the best known energy value in the sample obtained from the...
the aim of this investigation was to compare the level and the pattern of attention demands of a volleyball jumping serve using a probe reaction time (rt) technique. 14 junior elite volleyball players performed 60 jumping serves (js) with their preferred hand. jumping serve was performance as the primary task and verbal rt that was administered in four probe positions (pp) as secondary task. re...
Parameter Optimization for Iterative Confusion Network Decoding in Weather-Domain Speech Recognition
In this paper, we apply a set of approaches to, efficiently, rescore the output of the automatic speech recognition over weather-domain data. Since the in-domain data is usually insufficient for training an accurate language model (LM) we utilize an automatic selection method to extract domain-related sentences from a general text resource. Then, an N-gram language model is trained on this set....
The problem of portfolio optimization has made many advances since Markowitz proposed an average-variance-based optimization. It can be said that the most important achievement of the Markowitz model was the introduction of variance as a risk indicator and indeed, the introduction of a quantitative benchmark into it. This research is a model for predicting value at risk. This model extends the ...
Abstract Does pre-colonial history—and in particular the role of interstate warfare—help explain long-run development patterns across India? To address this question, we construct a new geocoded database historical conflicts on Indian subcontinent. We document robust positive relationship between conflict exposure and local economic today. Drawing archival secondary data, show that districts we...
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