Reinforcement learning is a category of machine learning algorithms including Q learning, temporal difference, and SARSA algorithm [7 9].
It would nice to file this entire affair under the category of "learning experience".
In addition to application to classification case, we apply this iterative approach to another category of learning algorithm - regression rule learning, extending its domain of usage.
First, in the category of Learning, we identified how individuals used their Experiences with MRSA, to answer the questions: What was learned?
A learning disabilities diagnosis entered into the registry was inclusive of specific learning disorders as defined in the DSM-IV, through the less precise and less verifiable category of learning disorders NOS [30].
In particular Convolutional Neural Network (CNN) is a category of deep learning which obtains excellent results in object detection and recognition tasks.
In this paper, outcomes and actions are considered a first category of learning (single loop learning), and subjective perceptions and intentions imply a superior category of learning (double loop learning).
Finally, all authoring tools were perceived positively in terms of user satisfaction with sub-categories of learning, controlling, design, satisfaction and productivity.
In a recent survey article Pan and Yang (2010), inductive transfer is presented as a special case of a wider category of 'transfer learning', alongside transductive and unsupervised transfer learning.
As it currently stands, the vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning (see "What is machine learning?").
