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R1: Flexible representation of data and knowledge, in order to easily include new types of knowledge.
Our procedure provides an efficient and flexible representation which can be efficiently implemented in parallel.
The described algorithm supports flexible representation of state conditions in propositional logic.
By replacing inner products with kernel functions in linear algorithms, we can obtain very flexible representation for nonlinear data.
Whereas semantic technologies allow for a flexible representation and access to knowledge and data, we also include strong problem solving methods to implement expressive decision knowledge.
These connections help to keep the road geometry as close to the originally obtained traces as possible while maintaining a flexible representation in terms of geometry corrections.
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This leads to flexible representations for pair-wise images.
First, GP has flexible representations which allow various heuristics to be represented as different computer programs.
With flexible representations, GP can represent and evolve effective scheduling heuristics to deal with a wide range of scheduling problems.
Neural network-based approaches have been proposed for feature mapping and dereverberation for speech/speaker recognition [35,36] because of their flexible representations.
In this model, synthetic agents are created allowing flexible representations of the multi-functional market players and possible mergers and coalitions in the electricity market.
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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