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Root cause analysis. In the field of science and engineering, root cause analysis ( RCA) is a method of problem solving used for identifying the root causes of faults or problems. [ 1] It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, [ 2] rail transport, or ...
Ishikawa diagrams (also called fishbone diagrams, [ 1] herringbone diagrams, cause-and-effect diagrams) are causal diagrams created by Kaoru Ishikawa that show the potential causes of a specific event. [ 2] Common uses of the Ishikawa diagram are product design and quality defect prevention to identify potential factors causing an overall effect.
The tech tree is the representation of all possible paths of research a player can take, up to the culmination of said sequence. A player who is engaged in research activities is said to be "teching up", "going up the tech tree", or "moving up the tech tree". Analysis of a tech tree can lead players to memorize and use specific build orders .
Bloom's taxonomy is a set of three hierarchical models used for classification of educational learning objectives into levels of complexity and specificity. The three lists cover the learning objectives in cognitive, affective and psychomotor domains. The cognitive domain list has been the primary focus of most traditional education and is ...
Constructing skill trees. Constructing skill trees (CST) is a hierarchical reinforcement learning algorithm which can build skill trees from a set of sample solution trajectories obtained from demonstration. CST uses an incremental MAP ( maximum a posteriori) change point detection algorithm to segment each demonstration trajectory into skills ...
When readers take part in the letter detection task and are given a connected text to read, there are less letter detection errors of a target letter (for example âtâ) when it is situated as the initial letter of a word (e.g. tree) compared to when it is embedded into words (e.g. path). [21]
A decision tree is a flowchart -like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represent ...
Fast-and-frugal tree or matching heuristic[ 1] (in the study of decision-making) is a simple graphical structure that categorizes objects by asking one question at a time. These decision trees are used in a range of fields: psychology, artificial intelligence, and management science. Unlike other decision or classification trees, such as Leo ...