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Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, 2010
The primary goal of the Midas project is to build a system that enables easy and scalable integration of unstructured and semi-structured information present across multiple data sources. As a first step in this direction, we have built a system that extracts and integrates information from regulatory filings submitted to the U.S.
Sreeram Balakrishnan +14 more
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The primary goal of the Midas project is to build a system that enables easy and scalable integration of unstructured and semi-structured information present across multiple data sources. As a first step in this direction, we have built a system that extracts and integrates information from regulatory filings submitted to the U.S.
Sreeram Balakrishnan +14 more
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The impact of economic policy uncertainty on stock volatility: Evidence from GARCH–MIDAS approach
Physica A: Statistical Mechanics and its Applications, 2021The purpose of this paper is to investigate the impact of economic policy uncertainty on stock volatility forecast. We apply the GARCH–MIDAS model which can directly incorporate low-frequency economic policy uncertainty index and high-frequency stock ...
Xiaoling Yu, Yi-Rong Huang
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Proceedings of the June 13-16, 1977, national computer conference on - AFIPS '77, 1977
MIDAS (A Modular Integrated Digital Animation System) is a portable FORTRAN-based system for defining two- and three-dimensional graphic compositions. Hierarchical modeling functions are coupled with dynamic storage allocation providing extensible storage for easily defined structural and transformational primitives.
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MIDAS (A Modular Integrated Digital Animation System) is a portable FORTRAN-based system for defining two- and three-dimensional graphic compositions. Hierarchical modeling functions are coupled with dynamic storage allocation providing extensible storage for easily defined structural and transformational primitives.
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IEEE Transactions on Mobile Computing
Millimeter wave radar is gaining traction recently for enabling privacy-preserving human sensing. However, the lack of large-scale, dynamic radar datasets impedes progress in developing robust and generalized deep learning models for mobile sensing ...
Kaikai Deng +5 more
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Millimeter wave radar is gaining traction recently for enabling privacy-preserving human sensing. However, the lack of large-scale, dynamic radar datasets impedes progress in developing robust and generalized deep learning models for mobile sensing ...
Kaikai Deng +5 more
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Predicting the long-term stock market volatility: A GARCH-MIDAS model with variable selection
Journal of Empirical Finance, 2020We consider a GARCH-MIDAS model with short-term and long-term volatility components, in which the long-term volatility component depends on many macroeconomic and financial variables. We select the variables that exhibit the strongest effects on the long-
Tong Fang, Tae-Hwy Lee, Zhi Su
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MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition
IEEE Workshop/Winter Conference on Applications of Computer VisionDynamic facial expression recognition (DFER) is an important task in the field of computer vision. To apply automatic DFER in practice, it is necessary to accurately recognize ambiguous facial expressions, which often appear in data in the wild.
Ryosuke Kawamura +3 more
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MIDAS III...a compiler version of MIDAS
SIMULATION, 1966The original MIDAS program (MIDAS I, Wright Patterson AFB 1 ) and the enlarged version of MIDAS (MIDAS II, North American Aviation 2 ) proved to be effective tools for the digital solution of comple,, engineering problems.
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Pneumocystectomy in a Midas cichlid
Journal of the American Veterinary Medical Association, 1995This report illustrates the feasibility of radiography, anesthesia, and coelomic surgery in a pet fish. Pneumocystectomy can improve certain buoyancy disorders in fish.
G A, Lewbart, E A, Stone, N E, Love
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Cointegrating MiDaS Regressions and a MiDaS Test [PDF]
, 2011 This paper introduces cointegrating mixed data sampling (CoMiDaS) regressions, generalizing nonlinear MiDaS regressions in the extant literature. Under a linear mixed-frequency data-generating process, MiDaS regressions provide a parsimoniously parameterized nonlinear alternative when the linear forecasting model is over-parameterized and may be ...
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Climate change and fossil fuel prices: A GARCH-MIDAS analysis
Energy Economics, 2023M. Tumala, Afees A. Salisu, Y. B. Nmadu
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