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Reading & Writing Quarterly, 2005 ABSTRACT Two studies evaluated the contribution of goal orientation—over and above the constructs of planned behavior theory—in explaining the relationship between attitudes, motivation, and academic achievement for students with and without learning disabilities.
Georgios D. Sideridis
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Advances in Computational Mathematics, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sayan Mukherjee +3 more
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2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 2022 Yi Yun Tian +5 more
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A Test Oracle for Reinforcement Learning Software Based on Lyapunov Stability Control Theory
2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)Shiyu Zhang +4 more
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2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2021 Weiwei Cai +7 more
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Analysis, 2022
Abstract Numerous computational and learning theory models have been studied using probabilistic functional equations. Especially in two-choice scenarios, the vast bulk of animal behavior research divides such situations into two different events. They split these actions into two possibilities according to the animals’ progress toward a
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Abstract Numerous computational and learning theory models have been studied using probabilistic functional equations. Especially in two-choice scenarios, the vast bulk of animal behavior research divides such situations into two different events. They split these actions into two possibilities according to the animals’ progress toward a
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IFAC Proceedings Volumes, 2013
Abstract Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the use of information generated on the previous trial to compute the control input for the next one and the basic problem is to ...
Wojciech Paszke +2 more
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Abstract Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the use of information generated on the previous trial to compute the control input for the next one and the basic problem is to ...
Wojciech Paszke +2 more
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2017 10th International Workshop on Multidimensional (nD) Systems (nDS), 2017
Iterative learning control can be applied to systems that execute the same finite duration task over and over again. This method control has been applied to many engineering systems, such as gantry robots and electrical motors. This paper gives further results on the design of dynamic iterative learning control laws using the repetitive process setting
Lukasz Hladowski +2 more
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Iterative learning control can be applied to systems that execute the same finite duration task over and over again. This method control has been applied to many engineering systems, such as gantry robots and electrical motors. This paper gives further results on the design of dynamic iterative learning control laws using the repetitive process setting
Lukasz Hladowski +2 more
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Stability of spectral learning algorithms: theory, methodologies and applications
In Data Mining an important research problem is the identification and analysis of theoretical properties that characterize and explain the behavior of learning algorithms. Based on such theoretical tools the comparison and analysis of algorithms can be based on rigorous and sound criteria other than simply their empirical behavior. In this context, anopenaire +1 more source