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Therefore, the proposed framework is an adaptive learning framework that can cover the new data better than the conventional SVM-based methods.
Multi-task Bayesian compressive sensing algorithm [28, 29] provides an adaptive learning framework and generally outperforms the conventional compressive sensing algorithms.
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On top of that, we also propose three graph learning mechanisms, namely global, local, and adaptive learning, which operate around the GE framework which was not studied in the previous paper.
Based on those criteria and the framework, a comparison of a smart learning environment, a context-aware u-learning environment and a conventional adaptive learning environment is presented in Table 1.
'Teaching machines' section sketches an informal framework for understanding the structural characteristics of adaptive learning systems.
In an online learning framework, the base models should also be time adaptive.
Therefore, a novel multi-model adaptive soft sensor modeling method is proposed based on the local learning framework and online support vector regression (OSVR) for nonlinear time-variant batch processes.
Using this framework, we integrated our conversational tutoring system into an existing commercial adaptive learning system.
Known as VIABLE (Values and Investments from Agent-Based interaction and Learning in Environmental systems), this framework allows users to model advanced facets of conflicts-including institution building, coalition formation, adaptive learning, and the potential for future conflict-and conflict resolution based on the long-term viability of the actors' strategies.
What is adaptive learning?
Adaptive learning is making waves in the US education system.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com