discriminative learning

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• Discriminative model — Discriminative models are a class of models used in machine learning for modeling the dependence of an unobserved variable y on an observed variable x. Within a statistical framework, this is done by modeling the conditional probability… …   Wikipedia

• animal learning — ▪ zoology Introduction       the alternation of behaviour as a result of individual experience. When an organism can perceive and change its behaviour, it is said to learn.       That animals can learn seems to go without saying. The cat that… …   Universalium

• Social learning theory — For the article on social learning theory in psychology and education see social cognitive theory. Social learning theory is a theory to explain how people learn behavior. People learn through observing others behavior. If people observe positive …   Wikipedia

• Constrained Conditional Models — A Constrained Conditional Model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to… …   Wikipedia

• Bag of words model in computer vision — This is an article introducing the Bag of words model (BoW) in computer vision, especially for object categorization. From now, the BoW model refers to the BoW model in computer vision unless explicitly declared.Before introducing the BoW model,… …   Wikipedia

• Linear classifier — In the field of machine learning, the goal of classification is to group items that have similar feature values, into groups. A linear classifier achieves this by making a classification decision based on the value of the linear combination of… …   Wikipedia

• Experimental analysis of behavior — The experimental analysis of behavior is the name given to school of psychology founded by B. F. Skinner, and based on his philosophy of radical behaviorism. A central principle was the inductive, data driven [Chiesa, Mecca: Radical Behaviorism:… …   Wikipedia

• Caltech 101 — is a dataset of digital images created in September, 2003, compiled by Fei Fei Li, Marco Andreetto, and Marc Aurelio Ranzato at the California Institute of Technology. It is intended to facilitate Computer Vision research and techniques. It is… …   Wikipedia

• Clasificador lineal — En el campo del aprendizaje automático, el objetivo del aprendizaje supervisado es usar las características de un objeto para identificar a qué clase (o grupo) pertenece. Un clasificador lineal logra esto tomando una decisión de clasificación… …   Wikipedia Español

• Kadir Brady saliency detector — The Kadir Brady saliency detector is designed to detect representative region in images. It performs well in the context of object class recognition. It was invented by http://www.robots.ox.ac.uk/ timork/ Timor Kadir] and [http://www.robots.ox.ac …   Wikipedia

• Verbal Behavior (book) — Verbal Behavior is a 1957 book by psychologist B. F. Skinner, in which he analyzes human behavior, encompassing what is traditionally called language, linguistics, or speech. [Citation first=Mecca |last=Chiesa title=Radical Behaviorism: The… …   Wikipedia