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The state social insurance budget in terms of budget classification

30 Years of Economic Reforms in the Republic of Moldova: Economic Progress via Innovation and Competitiveness, Vol III, 2022
The unified system of codes that groups and systematizes budgetary indicators according to certain criteria reflects the budgetary classification, which is important for policy formulation, identifying resource allocation, establishing accountability for policies and performance, and day-to-day budget management.
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Budget-Driven Big Data Classification

2015
A practical large-scale data classification approach is presented in this paper. By exploiting online learning framework, our approach learns a set of competing one-class Support Vector Machine models, one for each data class. The presented approach enjoys three budget-driven features: 1) it is capable of handling classification when data cannot fit in
Yiming Qian, Hao Yuan, Minglun Gong
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Budget Classification and Fiscal Planning

Public Administration Review, 1947
T HE formulation of an adequate fiscal policy depends not alone on analytical method. The raw materials of analysis are equally necessary. In the case of federal fiscal policy the budget is the most important of these raw materials; the formulation and administration of fiscal policy requires that the budget be presented in a form which lends itself to
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Classification of regional budgets by volume of subsidiation

Экономика и предпринимательство, 2022
Государственное межбюджетное регулирование и долгосрочная бюджетная политика России в последние годы все больше ориентируются на решение проблемы несбалансированности региональных бюджетов. Это обстоятельство оказывает существенное влияние на стабильность всей бюджетной системы, особенно в периоды экономического кризиса.
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Wideband blind signal classification on a battery budget

IEEE Communications Magazine, 2015
A wideband signal sensor is an essential component to enable cognitive radio and dynamic spectrum access techniques, providing real-time detection and modulation classification in a wideband environment of interest. The problem is challenging, requiring a processing suite incorporating detection, estimation, and classification, with stringent power ...
Ramesh Harjani   +9 more
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