Results 281 to 290 of about 1,235,584 (320)
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Rules Rather than Discretion: The Inconsistency of Optimal Plans
Journal of Political Economy, 1977Even if there is an agreed-upon, fixed social objective function and policymakers know the timing and magnitude of the effects of their actions, discretionary policy, namely, the selection of that decision which is best, given the current situation and a
F. Kydland, E. Prescott
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International Journal of Information Technology and Decision Making, 2021
Along with the developments of numerous MaOO algorithms in the last decades, comparing the performance of MaOO algorithms with one another is also highly needed. Many studies have attempted to manipulate such comparison to analyze the performance quality
R. T. Mohammed +7 more
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Along with the developments of numerous MaOO algorithms in the last decades, comparing the performance of MaOO algorithms with one another is also highly needed. Many studies have attempted to manipulate such comparison to analyze the performance quality
R. T. Mohammed +7 more
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Inconsistency-Aware Wavelet Dual-Branch Network for Face Forgery Detection
IEEE Transactions on Biometrics Behavior and Identity Science, 2021Current face forgery techniques can generate high-fidelity fake faces with extremely low labor and time costs. As a result, face forgery detection becomes an important research topic to prevent technology abuse. In this paper, we present an inconsistency-
Gengyun Jia +7 more
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Simplified Battery Pack Modeling Considering Inconsistency and Evolution of Current Distribution
IEEE transactions on intelligent transportation systems (Print), 2021With the development of battery technology, large-scale battery applications are increasing. In order to obtain a higher current and voltage level and improve the overall energy efficiency, batteries are connected in series and parallel.
Xinyuan Fan +5 more
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Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency
IEEE Transactions on Neural Networks and Learning Systems, 2020Graph learning has emerged as a promising technique for multi-view clustering due to its ability to learn a unified and robust graph from multiple views. However, existing graph learning methods mostly focus on the multi-view consistency issue, yet often
Youwei Liang +3 more
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Psychological Reports, 1968
Evidence bearing on the hypothesis that inconsistent socialization leads to various forms of maladjustment and is more detrimental than consistently negative socialization was reviewed. Studies relying upon clinical observation, case histories, interviews, inventory and rating techniques, direct observation of parental behavior, and experimental ...
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Evidence bearing on the hypothesis that inconsistent socialization leads to various forms of maladjustment and is more detrimental than consistently negative socialization was reviewed. Studies relying upon clinical observation, case histories, interviews, inventory and rating techniques, direct observation of parental behavior, and experimental ...
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Classifier Inconsistency-Based Domain Adaptation Network for Partial Transfer Intelligent Diagnosis
IEEE Transactions on Industrial Informatics, 2020Deep networks based mechanical intelligent diagnosis has been recently attracting considerable attentions with the development of Industry 4.0. Unfortunately, a more practical diagnostic scenario, i.e., unsupervised partial transfer diagnosis, has not ...
Jinyang Jiao +3 more
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Journal of Philosophical Logic, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Likelihood and Inconsistency, , , ,
Cladistics, 1999Parsimony can be inconsistent, but not maximum likelihood—likelihood advocates often say. This difference and conclusions drawn from it have provided the main reasons advanced by likelihoodists against the use of parsimony. Recent statistical research, however, shows that maximum likelihood estimation of phylogenetic trees can become inconsistent in ...
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Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering
Industrial Conference on Data Mining, 2019Graph Learning has emerged as a promising technique for multi-view clustering, and has recently attracted lots of attention due to its capability of adaptively learning a unified and probably better graph from multiple views.
Youwei Liang, Dong Huang, Changdong Wang
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