multi-level classifier

См. также в других словарях:

• Learning classifier system — A learning classifier system, or LCS, is a machine learning system with close links to reinforcement learning and genetic algorithms. First described by John Holland, his LCS consisted of a population of binary rules on which a genetic algorithm… …   Wikipedia

• Boosting — Le boosting est un domaine de l apprentissage automatique (branche de l intelligence artificielle). C est un principe qui regroupe de nombreux algorithmes qui s appuient sur des ensembles de classifieurs binaires : le boosting optimise leurs …   Wikipédia en Français

• 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

• MLC — may refer to:*Major League Cricket *Mandelbrot Locally Connected *Manufacturing Logistics Control, a software firm in Chennai, India *Marine Logistics Command *Martin Luther College *Mauritius Labour Congress *Maximum likelihood classifier *Meat… …   Wikipedia

• Artificial intelligence — AI redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). TOPIO, a humanoid robot, played table tennis at Tokyo International Robot Exhibition (IREX) 2009.[1] Artificial intelligence ( …   Wikipedia

• Automatic summarization — is the creation of a shortened version of a text by a computer program. The product of this procedure still contains the most important points of the original text. The phenomenon of information overload has meant that access to coherent and… …   Wikipedia

• Boosting methods for object categorization — Given images containing various known objects in the world, a classifier can be learned from them to automatically categorize the objects in future images. Simple classifiers built based on some image feature of the object tend to be weak in… …   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

• Data fusion — Data fusion, is generally defined as the use of techniques that combine data from multiple sources and gather that information into discrete, actionable items in order to achieve inferences, which will be more efficient and narrowly tailored than …   Wikipedia

• Activity recognition — aims to recognize the actions and goals of one or more agents from a series of observations on the agents actions and the environmental conditions. Since the 1980s, this research field has captured the attention of several computer science… …   Wikipedia

• List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …   Wikipedia