Studies in Computational Intelligence

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Generation of Test Data Using Genetic Algorithm and Constraint Solver
Studies in Computational Intelligence - - Trang 499-513 - 2017
Dinh, Ngoc-Thi, Vo, Hieu-Dinh, Vu, Thi-Dao, Nguyen, Viet-Ha
Search-based testing techniques using genetic algorithm (GA) can automatically generate test data that achieves high coverage on almost any given program under test. GA casts the path coverage test data generation as an optimization problem and applies efficient...
Beyond Traditional Probabilistic Methods in Econometrics
Studies in Computational Intelligence - - Trang 3-21 - 2019
Nguyen, Hung T., Trung, Nguyen Duc, Thach, Nguyen Ngoc
We elaborate on various uncertainty calculi in current research efforts to improve empirical econometrics. These consist essentially of considering appropriate non additive (and non commutative) probabilities, as well as taking into account economic data which...
Applications to Bioinformatics
Studies in Computational Intelligence - - Trang 261-264 - 2012
Nguyen, Hung T., Kreinovich, Vladik, Wu, Berlin, Xiang, Gang
Formulation of the practical problem. In cancer research, it is important to find out the genetic difference between the cancer cells and the healthy cells. In the ideal world, we should be able to have a sample of cancer cells, and a sample of healthy cells, and...
Quantum Ideas in Economics Beyond Quantum Econometrics
Studies in Computational Intelligence - - Trang 146-151 - 2018
Kreinovich, Vladik, Nguyen, Hung T., Sriboonchitta, Songsak
It is known that computational methods developed for solving equations of quantum physics can be successfully applied to solve economic problems; there is a whole related research area called quantum econometrics. Current quantum econometrics techniques are based on...
Macroeconomic Forecasting Based on LSTM-Conditioned Normalizing Flows
Studies in Computational Intelligence - - Trang 658-669 - 2022
Nguyen, Hien T., Nguyen, Duc Trung, Nguyen, Ngoc Thach, Nguyen, Hai M., Nguyen, Vu H., Tan, Nguyen Ngoc, Nguyen, Hung M. V., Truong, Hoang N., Linh, Nguyen Tran Xuan
Macroeconomic forecasting is a key task of developing the outlook for economy of a country and supporting decision making. In this paper we present a novel approach to macroeconomic forecasting based on LSTM-based encoder-decoder and conditional normalizing flows....
A Closer Look at the Modeling of Economics Data
Studies in Computational Intelligence - - Trang 100-112 - 2019
Nguyen, Hung T., Thach, Nguyen Ngoc
By taking a closer look at the traditional way we used to proceed to conduct empirical research in economics, especially in using “traditional” proposed models for economical dynamics, we elaborate on current efforts to improve its research methodology....
Tại sao một số họ phân phối xác suất lại hiệu quả trong thực tiễn: Giải thích dựa trên đối xứng Dịch bởi AI
Studies in Computational Intelligence - - Trang 133-152 - 2016
Kreinovich, Vladik, Kosheleva, Olga, Nguyen, Hung T., Sriboonchitta, Songsak
Trong số nhiều họ phân phối xác suất có thể có, một số họ đã chứng tỏ là hiệu quả nhất trong các tình huống thực tiễn. Tại sao lại là những họ này mà không phải là những họ khác? Để giải thích thành công thực nghiệm này, chúng tôi xây dựng bài toán tổng quát về việc chọn một...
The Impact of Public Expenditure on Economic Growth of Provinces and Cities in the Southern Key Economic Zone of Vietnam: Bayesian Approach
Studies in Computational Intelligence - - Trang 328-344 - 2022
Oanh, Tran Thi Kim, Diep, Nguyen Van, Truyen, Pham Thanh, Chau, Nguyen Xuan Bao
This study assesses the impact of public expenditure on the economic growth of the Southern Key Economic Zone (SKEZ) of Vietnam. The results, using data of 8 provinces and cities of SKEZ from 2005 to 2016, by following the Bayesian approach and Gibbs sampling...
Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas
Studies in Computational Intelligence - - Trang 53-74 - 2009
Nguyen, Hung T., Kreinovich, Vladik, Gamez, J. Esteban, Modave, François, Kosheleva, Olga
Most traditional examples of fuzziness come from the analysis of commonsense reasoning. When we reason, we use words from natural language like “young”, “well”. In many practical situations, these words do not have a precise true-or-false...
Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness
Studies in Computational Intelligence - - Trang 27-51 - 2009
Nguyen, Hung T., Kreinovich, Vladik, Modave, François, Ceberio, Martine
Fuzzy techniques have been originally invented as a methodology that transforms the knowledge of experts formulated in terms of natural language into a precise computer-implementable form. There are many successful applications of this methodology to situations in...
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