Results 21 to 30 of about 766,830 (264)
Boosting with incomplete information
Proceedings of the 25th international conference on Machine learning - ICML '08, 2008 In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we present a boosting approach that integrates features with incomplete information and those with complete information to form a strong classifier.
Haffari, Gholamreza +4 more
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Information Revelation and Market Incompleteness [PDF]
Review of Economic Studies, 2000 \documentstyle[portada,11pt]{article}This paper shows that the presence of private information in aneconomy can be a source of market incompleteness even when it is feasibleto issue a set of securities that completely eliminates the informationalasymmetries in equilibrium.
José M. Marín, Rohit Rahi
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Option pricing in time-changed Lévy models with compound Poisson jumps
Modern Stochastics: Theory and Applications, 2018 The problem of European-style option pricing in time-changed Lévy models in the presence of compound Poisson jumps is considered. These jumps relate to sudden large drops in stock prices induced by political or economical hits.
Roman V. Ivanov, Katsunori Ano
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Attribute Reduction Algorithm for Incomplete Information Systems Based on Intuitive Fuzzy Pairs
IEEE Access, 2023 The current attribute reduction algorithms for information systems are difficult to handle imbalanced data with default values. Therefore, to address the shortcomings of traditional attribute reduction algorithms (ARAs) in incomplete information systems,
Weihan Li, Jianwei Guo
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International Journal of Applied Mathematics and Computer Science, 2021 Multiple criteria decision making (MCDM) problems in practice may simultaneously contain both redundant and incomplete information and are difficult to solve.
Xia Sisi, Yang Haoran, Chen Lin
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Autonomous Maneuver Decision-Making of UCAV with Incomplete Information in Human-Computer Gaming
Drones, 2023 In human-computer gaming scenarios, the autonomous decision-making problem of an unmanned combat air vehicle (UCAV) is a complex sequential decision-making problem involving multiple decision-makers.
Shouyi Li +4 more
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Possibilistic Games with Incomplete Information [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Bayesian games offer a suitable framework for games where the utility degrees are additive in essence. This approach does nevertheless not apply to ordinal games, where the utility degrees do not capture more than a ranking, nor to situations of decision under qualitative uncertainty.
Nahla Ben Amor +3 more
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On games of incomplete information
Theoretical Computer Science, 1992 We study two-person games of cooperation and multi-prover interactive proof systems. We consider a two-person game \(G\), which we call a free game, defined as follows. A Boolean function \(\phi_ G\) is given. Player I and II each pick a random number \(i\) and \(j\) in private, where \(1\leq i\), \(j\leq s\), and then each chooses a private number \(f(
Jin-yi Cai +2 more
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On the Generalized Inverse Gaussian Volatility in the Continuous Ho–Lee Model
ComputationThis paper presents a new model of the term structure of interest rates that is based on the continuous Ho–Lee one. In this model, we suggest that the drift and volatility coefficients depend additionally on a generalized inverse Gaussian (GIG ...
Roman V. Ivanov
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On Properties of the Hyperbolic Distribution
MathematicsThis paper is set to analytically describe properties of the hyperbolic distribution. This law, along with the variance-gamma distribution, is one of the most popular normal mean–variance mixtures from the point of view of various applications.
Roman V. Ivanov
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