Exact(1)
So it does make sense that the eyes of scientists — and startups — would also shift to the food supply in the hopes of applying similar learnings to improve yield.
Similar(59)
Recently, NFIQ 2.0[51] is introduced with a similar learning-based quality assessment framework in which several new image-based features are considered for inclusion, including Gabor filter responses.
Then, a model-free optimal control is designed to minimize the given cost functional by ADP technology, which combines a similar Q-learning method with a value iteration (VI) algorithm, using only the measured input/output data.
In this study, we relied solely on student self-reported data from three iterations of a single course that were all taught using similar active-learning methods.
In comparison, the task presented here is more similar to e-learning lessons, or in the case of an open web task, reading a single Wikipedia result.
In monkeys that learn behavioral reactions, the response of midbrain dopamine neurons to reward is remarkably similar in its learning-dependent characteristics to the prediction error δ(t) of a TD learning algorithm that is trained on the same task (Montague et al., 1996, 2004; Schultz et al., 1997; Suri and Schultz, 1999; Kakade and Dayan, 2000; Waelti et al., 2001; Niv et al., 2005).
The presented belief learning approach is applied to empirical case studies along with an implementation of a Q-learning approach similar to Wang [42] and Wang et al. [43] for comparison (In their approach, offender agents seek reward for committing crimes, target agents seek to minimize cost of being victimized, and guardians seek high crime locations).
The 14 WAIS measures were grouped into product, process, and incidental-learning factors, similar to how this was done for the PC analysis reported earlier.
The expression patterns in the cerebellum and AH and AMD somatosensory areas are quite similar across the vocal learning and vocal non-learning groups.
During concept learning tasks, for example, it has been suggested that characteristic features are abstracted from a set of examples with the consequence that learning of similar tasks is facilitated a process termed 'learning to learn'.
Such successful integration of recommender systems in e-commerce has prompted researchers to explore similar benefits in the e-learning domain [16, 17] since the integration of recommender systems in e-learning has high potential for achieving advanced personalization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com