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An example of an adaptive specialization of learning is the ability of some bird species to learn and mimic the calls of other birds or even human sounds. This specialization helps them communicate more effectively within their social groups, attract mates, and avoid predators by blending in with their environment. Such learning enhances their survival and reproductive success, demonstrating the evolutionary benefits of adaptability in cognitive skills.
What else can I help you with?
What is the term for biodiversity that results from new ancestral species?
Adaptive radiation is the term for biodiversity that results from few ancestral species.
What is a non example of specialization?
Uncatergorized
Which occupation is not an example of specialization?
student
What is an example to adaptive bioengineering?
Artificial limbs.
What best describes adaptive radiation?
Biodiversity resulting from few ancestors, APEX LEARNING
What is a seaweed's special adaptive features?
we are learning to set the scene by hooking and holding the reader
How a factory assembly line is an example of specialization?
example of assembly plant?
The Denver II is an example of which test?
Adaptive behaviour
What is adaptive thermogenesis?
Adaptive Thermogenesis: This can be defined as the regulated production of heat in response to environmental changes in temperature and diet, resulting in metabolic inefficiency. For example, shivering when we are cold uses energy and this is an example of adaptive thermogenesis. (Alexander Bowring 24 / 04 / 2008)
What has the author Jeffrey C Levy written?
Jeffrey C. Levy has written: 'Adaptive learning and the human condition' -- subject(s): Psychology of Learning
what is adaptive optimizer?
An adaptive optimizer is a type of algorithm used in machine learning and optimization that adjusts its learning rate based on the characteristics of the data and the optimization landscape. Unlike traditional optimizers that maintain a fixed learning rate, adaptive optimizers dynamically modify their rates for each parameter, allowing for faster convergence and improved performance. Common examples include Adam, RMSprop, and AdaGrad, which use past gradients to inform their adjustments. This adaptability helps in efficiently navigating complex loss surfaces, particularly in deep learning scenarios.
What has the author William A Branch written?
William A. Branch has written: 'Adaptive learning in regime-switching models'
