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Learning is the
process of
acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The
ability to
learn is possessed...
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Machine learning (ML) is a
field of
study in
artificial intelligence concerned with the
development and
study of
statistical algorithms that can learn...
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Reinforcement learning is one of the
three basic machine learning paradigms,
alongside supervised learning and
unsupervised learning.
Reinforcement learning differs...
- In
statistics and
machine learning,
ensemble methods use
multiple learning algorithms to
obtain better predictive performance than
could be
obtained from...
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Learning standards (also
called academic standards,
content standards and curricula) are
elements of declarative, procedural, schematic, and strategic...
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Psychomotor learning is the
relationship between cognitive functions and
physical movement.
Psychomotor learning is
demonstrated by
physical skills such...
- Deep
learning is a
subset of
machine learning that
focuses on
utilizing multilayered neural networks to
perform tasks such as classification, regression...
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Active learning is a
special case of
machine learning in
which a
learning algorithm can
interactively query a
human user (or some
other information source)...
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Implicit learning is the
learning of
complex information in an
unintentional manner,
without awareness of what has been learned.
According to
Frensch and...
- A
learning automaton is one type of
machine learning algorithm studied since 1970s.
Learning automata select their current action based on past experiences...
