discriminative learning
1Discriminative 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… …
2animal 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… …
3Social 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 …
4Constrained 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… …
5Bag 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,… …
6Linear 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… …
7Experimental 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:… …
8Caltech 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… …
9Clasificador 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… …
10Kadir 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 …
