unsupervised learning

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• Unsupervised learning — In machine learning, unsupervised learning is a class of problems in which one seeks to determine how the data are organised. It is distinguished from supervised learning (and reinforcement learning) in that there are only inputs, and no… …   Wikipedia

• unsupervised — /ʌnˈsupəvaɪzd/ (say un soohpuhvuyzd) adjective performed without supervision: unsupervised learning …  

• Concept learning — Concept learning, also known as category learning, concept attainment, and concept formation, is largely based on the works of the cognitive psychologist Jerome Bruner. Bruner, Goodnow, Austin (1967) defined concept attainment (or concept… …   Wikipedia

• Machine learning — is a subfield of artificial intelligence that is concerned with the design and development of algorithms and techniques that allow computers to learn . In general, there are two types of learning: inductive, and deductive. Inductive machine… …   Wikipedia

• One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… …   Wikipedia

• Semi-supervised learning — In computer science, semi supervised learning is a class of machine learning techniques that make use of both labeled and unlabeled data for training typically a small amount of labeled data with a large amount of unlabeled data. Semi supervised… …   Wikipedia

• Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… …   Wikipedia

• Machine learning — Apprentissage automatique L apprentissage automatique (machine learning en anglais) est un des champs d étude de l intelligence artificielle. L apprentissage automatique fait référence au développement, à l analyse et à l implémentation de… …   Wikipédia en Français

• Maching learning — Apprentissage automatique L apprentissage automatique (machine learning en anglais) est un des champs d étude de l intelligence artificielle. L apprentissage automatique fait référence au développement, à l analyse et à l implémentation de… …   Wikipédia en Français

• Machine Learning — Maschinelles Lernen ist ein Oberbegriff für die „künstliche“ Generierung von Wissen aus Erfahrung: Ein künstliches System lernt aus Beispielen und kann nach Beendigung der Lernphase verallgemeinern. Das heißt, es lernt nicht einfach die Beispiele …   Deutsch Wikipedia

• Competitive learning — is a form of unsupervised learning in artificial neural networks, in which nodes compete for the right to respond to a subset of the input data.[1] A variant of Hebbian learning, competitive learning works by increasing the specialization of each …   Wikipedia