The inductive bias (also known as learning bias) of a learning algorithm is the set of assumptions that the learner uses to predict outputs of given inputs...
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unduly magnified—include teacher bias as well as a general bias against women who are going into STEM research. Inductive bias occurs within the field of machine...
85 KB (9,442 words) - 17:55, 26 May 2024
contrary evidence. For example, confirmation bias produces systematic errors in scientific research based on inductive reasoning (the gradual accumulation of...
110 KB (13,145 words) - 08:24, 29 May 2024
Supervised learning (section Bias-variance tradeoff)
from the training data to unseen situations in a "reasonable" way (see inductive bias). This statistical quality of an algorithm is measured through the so-called...
22 KB (3,011 words) - 10:15, 25 April 2024
a set of assumptions about the data, its inductive bias. This means that it will only learn well if the bias matches the learning problem. A learning...
21 KB (2,275 words) - 20:21, 12 June 2024
hasty generalization and the biased sample are generalization fallacies. A statistical generalization is a type of inductive argument in which a conclusion...
65 KB (8,326 words) - 01:52, 6 May 2024
See List of cognitive biases for a comprehensive list Exponent bias, the constant offset of an exponent's value Inductive bias, the set of assumptions...
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Faulty generalization (redirect from Inductive fallacy)
(fallacy) – Informal fallacy Association fallacy – Informal inductive fallacy Availability bias – Bias towards recently acquired informationPages displaying...
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optimization Robot learning Transfer learning Baxter, J. (2000). A model of inductive bias learning" Journal of Artificial Intelligence Research 12:149--198, On-line...
31 KB (4,771 words) - 02:41, 18 April 2024