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  2. Bias–variance tradeoff - Wikipedia

    en.wikipedia.org/wiki/Biasvariance_tradeoff

    Even though the bias–variance decomposition does not directly apply in reinforcement learning, a similar tradeoff can also characterize generalization. When an agent has limited information on its environment, the suboptimality of an RL algorithm can be decomposed into the sum of two terms: a term related to an asymptotic bias and a term due ...

  3. Overfitting - Wikipedia

    en.wikipedia.org/wiki/Overfitting

    The bias–variance tradeoff is often used to overcome overfit models. With a large set of explanatory variables that actually have no relation to the dependent variable being predicted, some variables will in general be falsely found to be statistically significant and the researcher may thus retain them in the model, thereby overfitting the ...

  4. Observer bias - Wikipedia

    en.wikipedia.org/wiki/Observer_bias

    Another key example of observer bias is a 1963 study, "Psychology of the Scientist: V. Three Experiments in Experimenter Bias", [9] published by researchers Robert Rosenthal and Kermit L. Fode at the University of North Dakota. In this study, Rosenthal and Fode gave a group of twelve psychology students a total of sixty rats to run in some ...

  5. Trade-off - Wikipedia

    en.wikipedia.org/wiki/Trade-off

    In economics a trade-off is expressed in terms of the opportunity cost of a particular choice, which is the loss of the most preferred alternative given up. [2] A tradeoff, then, involves a sacrifice that must be made to obtain a certain product, service, or experience, rather than others that could be made or obtained using the same required resources.

  6. Heuristic - Wikipedia

    en.wikipedia.org/wiki/Heuristic

    The bias–variance tradeoff gives insight into describing the less-is-more strategy. [102] A heuristic can be used in artificial intelligence systems while searching a solution space . The heuristic is derived by using some function that is put into the system by the designer, or by adjusting the weight of branches based on how likely each ...

  7. List of cognitive biases - Wikipedia

    en.wikipedia.org/wiki/List_of_cognitive_biases

    In psychology and cognitive science, a memory bias is a cognitive bias that either enhances or impairs the recall of a memory (either the chances that the memory will be recalled at all, or the amount of time it takes for it to be recalled, or both), or that alters the content of a reported memory. There are many types of memory bias, including:

  8. Present bias - Wikipedia

    en.wikipedia.org/wiki/Present_bias

    Present bias is the tendency to settle for a smaller present reward rather than wait for a larger future reward, in a trade-off situation. [ 1 ] [ 2 ] It describes the trend of overvaluing immediate rewards, while putting less worth in long-term consequences. [ 3 ]

  9. Between-group design experiment - Wikipedia

    en.wikipedia.org/wiki/Between-group_design...

    Assignment bias, observer-expectancy and subject-expectancy biases are common causes for skewed data results in between-group experiments, which can lead to false conclusions being drawn. These problems can be prevented by implementing random assignment and creating double-blind experiments whereby both the subject and experimenter are kept ...