Empirical single sample quantification of bias and variance in Q‐ball imaging
Sign Up to like & getrecommendations! Published in 2018 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27115
Abstract: The bias and variance of high angular resolution diffusion imaging methods have not been thoroughly explored in the literature and may benefit from the simulation extrapolation (SIMEX) and bootstrap techniques to estimate bias and variance… read more here.
Keywords: bias variance; empirical single; single sample; sample quantification ... See more keywords
Bias/Variance Trade-Off in Estimates of a Process Parameter Based on Temporal Data
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Quality Technology"
DOI: 10.1080/00224065.2017.11917999
Abstract: We recommend an approach to estimate a process performance measure (or parameter) at the present time from a stream of data where the performance may drift slowly over time. It is common practice to estimate… read more here.
Keywords: variance trade; bias variance; time; variance ... See more keywords
Bias-variance decomposition of overparameterized regression with random linear features
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.025304
Abstract: In classical statistics, the bias-variance trade-off describes how varying a model's complexity (e.g., number of fit parameters) affects its ability to make accurate predictions. According to this trade-off, optimal performance is achieved when a model… read more here.
Keywords: variance; linear features; random linear; bias variance ... See more keywords
The Bias-Variance Tradeoff in Cognitive Science
Sign Up to like & getrecommendations! Published in 2023 at "Cognitive science"
DOI: 10.1111/cogs.13241
Abstract: The bias-variance tradeoff is a theoretical concept that suggests machine learning algorithms are susceptible to two kinds of error, with some algorithms tending to suffer from one more than the other. In this letter, we… read more here.
Keywords: cognitive science; science; variance tradeoff; bias variance ... See more keywords
Bias-Variance Trade-Off in Continuous Test Norming
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DOI: 10.1177/1073191120939155
Abstract: In continuous test norming, the test score distribution is estimated as a continuous function of predictor(s). A flexible approach for norm estimation is the use of generalized additive models for location, scale, and shape. It… read more here.
Keywords: continuous test; test norming; bias variance; variance ... See more keywords