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inductive learning

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  • Inductive reasoning aptitude — Inductive reasoning is a measurable aptitude for how well a person can identify a pattern within a large amount of data. Measurement is generally done in a timed test by showing four pictures or words and asking the test taker to identify which… …   Wikipedia

  • Inductive transfer — Inductive transfer, or transfer learning, is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. [West, Jeremy, Dan Ventura, and Sean… …   Wikipedia

  • Inductive logic programming — (ILP) is a subfield of machine learning which uses logic programming as a uniform representation for examples, background knowledge and hypotheses. Given an encoding of the known background knowledge and a set of examples represented as a logical …   Wikipedia

  • Inductive bias — The inductive bias of a learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has not encountered (Mitchell, 1980).In machine learning, one aims to construct algorithms that are able to learn… …   Wikipedia

  • Inductive inference — This article is about the mathematical concept, for inductive inference in logic, see Inductive reasoning. Around 1960, Ray Solomonoff founded the theory of universal inductive inference, the theory of prediction based on observations; for… …   Wikipedia

  • Inductive reasoning — Induction or inductive reasoning, sometimes called inductive logic, is the process of reasoning in which the premises of an argument are believed to support the conclusion but do not entail it; i.e. they do not ensure its truth. Induction is a… …   Wikipedia

  • Computational 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 …   Wikipedia

  • Language learning aptitude — According to John B. Carroll and Stanley Sapon, the authors of the Modern Language Aptitude Test, the term language learning aptitude refers to the “prediction of how well, relative to other individuals, an individual can learn a foreign language …   Wikipedia

  • Collaborative learning-work — was a concept first presented by in the 1980s as part of his research on future trends and directions. Collaborative Learning Work refers to processes, methodologies and environments in which professionals engage in a common task, in which… …   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

  • 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

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