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A framework for learning about the technical needs and interests of participating companies.
* Hierarchical Bayesian models: a framework for learning to learn, transfer learning, and multitask learning.
But without some initial support and a framework for learning, many managers find it difficult to reach out to new colleagues themselves.
In this paper, we introduce a framework for learning biped locomotion using dynamical movement primitives based on non-linear oscillators.
StanfordCoreNLP includes Bootstrapped Pattern Learning, a framework for learning patterns to learn entities of given entity types from unlabeled text starting with seed sets of entities.
The proposed solution is a framework for learning Terminological Decision Trees from examples described in an ontological knowledge base, to be used for performing instance classifications.
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We introduce a general framework for learning low-variance, unbiased gradient estimators for black-box functions of random variables.
We propose and analyze a novel framework for learning sparse representations based on two statistical techniques: kernel smoothing and marginal regression.
The feasibility of our approach is proven exemplarily by stairs, and a generic framework for learning other building parts is discussed.
This article elaborates a conceptual framework for learning organizations, through the introduction of change concepts and the creation of learning teams, and reports on a case that illustrates this framework.
Although the model does contain challenges, it represents a generic framework for learning and teaching that is flexible for further development and applicable to many subjects and levels.
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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