Robust statistics — provides an alternative approach to classical statistical methods. The motivation is to produce estimators that are not unduly affected by small departures from model assumptions. Contents 1 Introduction 2 Examples of robust and non robust… … Wikipedia
Decision downloading — Decision downloading[1] refers to communicating a decision to those who have not been involved in the decision making process. The term “decision downloading” is used to set apart those special situations in which decision makers communicate a… … Wikipedia
Decision making — For Decision making in groups, see Group decision making. Sample flowchart representing the decision process to add a new article to Wikipedia. Decision making can be regarded as the mental processes (cognitive process) resulting in the selection … Wikipedia
Decision theory — in economics, psychology, philosophy, mathematics, and statistics is concerned with identifying the values, uncertainties and other issues relevant in a given decision, its rationality, and the resulting optimal decision. It is closely related to … Wikipedia
Decision tree learning — This article is about decision trees in machine learning. For the use of the term in decision analysis, see Decision tree. Decision tree learning, used in statistics, data mining and machine learning, uses a decision tree as a predictive model… … Wikipedia
Decision stump — An example of a decision stump that discriminates between two of three classes of Iris flower data set: Iris versicolor and Iris virginica. This particular stump achieves 94% accuracy on Iris dataset for these two classes. A decision stump is a… … Wikipedia
Robust real-time object detection — The Viola and Jones Object Detection Framework is the first object detection framework to provide competitive object detection rates in real time. [ [http://research.microsoft.com/ viola/Pubs/Detect/violaJones IJCV.pdf Viola, Jones: Robust Real… … Wikipedia
Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… … Wikipedia
Dynamic decision-making — (DDM) is interdependent decision making that takes place in an environment that changes over time either due to the previous actions of the decision maker or due to events that are outside of the control of the decision maker.[1][2] In this sense … Wikipedia
Group decision making — (also known as collaborative decision making) is a situation faced when individuals are brought together in a group to solve problems. According to the idea of synergy, decisions made collectively tend to be more effective than decisions made by… … Wikipedia
