- similarity-based learning
- 基于相似的学习
Medical Chinese dictionary (湘雅医学词典). 2013.
Medical Chinese dictionary (湘雅医学词典). 2013.
Semantic similarity — or semantic relatedness is a concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning / semantic content. Concretely, this can be achieved for instance by defining a topological… … Wikipedia
learning theory — ▪ psychology Introduction any of the proposals put forth to explain changes in behaviour produced by practice, as opposed to other factors, e.g., physiological development. A common goal in defining any psychological (psychology)… … Universalium
Similarity heuristic — The similarity heuristic is a lesser known psychological heuristic pertaining to how people make judgments based on similarity. More specifically, the similarity heuristic is used to account for how people make judgments based on the similarity… … Wikipedia
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
psychomotor learning — Introduction development of organized patterns of muscular activities guided by signals from the environment. Behavioral examples include driving a car and eye hand coordination tasks such as sewing, throwing a ball, typing, operating a… … Universalium
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
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
Segmentation based object categorization — The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation. Applications of Image … Wikipedia
Classification in machine learning — See also: Pattern recognition This section needs integrating with Statistical classification (Discuss). Integration means cross linking and distinguishing (to/from each other), or sometimes merging (if consensus suggests). In machine learning and … Wikipedia
Motor learning — is a “relatively permanent” change, resulting from practice or a novel experience, in the capability for responding (Guthrie, 1952). It often involves improving the smoothness and accuracy of movements and is obviously necessary for complicated… … Wikipedia
Resource-based view — The resource based view (RBV) is an economic tool used to determine the strategic resources available to a firm. The fundamental principle of the RBV is that the basis for a competitive advantage of a firm lies primarily in the application of the … Wikipedia