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From a knowledge-searching and innovation perspective, organizational learning can be classified into exploitation learning and exploration learning, and balancing them helps organizations adapt to changing environments and gain competitive advantage (Kane and Alavi 2007; Lee and Huang 2012 March 19911).
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We showed, for example, that mates of the territorial Zenaida dove (Zenaida aurita) of Barbados scrounged from each other's food exploitations and learned to exploit the novel food source as a result [17].
They facilitate the exploitation of machine learning techniques to drive hypothesis from complex small molecule datasets, and interaction datasets.
They facilitate the exploitation of machine learning techniques to drive hypothesis from complex protein/peptide datasets, DNAs/RNAs datasets, small molecule datasets, and interaction datasets.
If only the action with the highest Q-value is always selected (exploitation), the learning algorithm may be stuck in a local maximum.
The exploitation of big volume learning data, is a critical challenge for the design of personalized curricula and learning experiences.
The TDL's action selection strategy, however, is crucial for balancing exploitation of already learned knowledge and exploration of new and possibly better alternatives.
The underlying formal reasoning mechanisms (logic-based semantics) in conceptual graphs enable intelligent information retrieval for the effective exploitation of lessons learned from past projects.
Mungos creative resilience points to an escape-route from such exploitation, and promises a way of "learning to live again".
I went plant-based first and vegan soon after learning more about animal exploitation.
The exploration-exploitation trade-off is typical of learning algorithms.
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