supervised learning
1Supervised 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… …
2Semi-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… …
3supervised study — learning with supervision, studying with guidance …
4Learning for Life — Infobox WorldScouting owner = Boy Scouts of America type = organization name = Learning for Life headquarters = Irving, Texas country = United States f date = 1992 members = 1,750,767 youth 61,041 adults (2006) [cite web… …
5Supervised agricultural experience — A supervised agriculture experience, or SAE, is required before obtaining a Chapter FFA Degree for the National FFA Organization. An SAE can be anything from raising livestock at your school farm, or a plant project. According to the 13th… …
6Machine 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… …
7Concept 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… …
8Computational learning theory — In theoretical computer science, computational learning theory is a mathematical field related to the analysis of machine learning algorithms. Contents 1 Overview 2 See also 3 References 3.1 Surveys …
9Transduction (machine learning) — In logic, statistical inference, and supervised learning,transduction or transductive inference is reasoning fromobserved, specific (training) cases to specific (test) cases. In contrast, induction is reasoning from observed training casesto… …
10Reinforcement learning — Inspired by related psychological theory, in computer science, reinforcement learning is a sub area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long term reward .… …
