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Task-Parameterised learning defines task-relevant parameters, such as object positions and orientations, and uses them to construct frames of reference.
“In TP learning, specific task relevant parameters are defined, such as object positions and orientations in an environment, and these are used to construct frames of reference.”
From Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation (2019) · cites this paper as [4]
Learning task representations in local frames of reference can greatly improve a learner's extrapolation ability.
“By learning task representations in these local frames of reference, the learner's extrapolation abilities can be improved a great deal.”
From Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation (2019) · cites this paper as [4]
In a reaching task test data set, the proposed method shows significant improvement over original TP-GMR and mPGMM.
“Significant improvement using the proposed method is shown in a test data set for a reaching task, versus the original TP-GMR method described in [4] and a modified TP method described in [5], specifically designed to improve extrapolation of learned skills.”
From Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation (2019) · cites this paper as [4]
Many learning methods perform well under interpolation but degrade in performance under extrapolation.
“Many learning methods will perform well under interpolation conditions, but then degrade in performance under extrapolation [4].”
From Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation (2019) · cites this paper as [4]
The small sample size (n = 7) does not allow assuming normality of the data distribution, so the Wilcoxon signed-rank test was used.
“Given that the small sample size (n = 7) does not allow us to assume the normality of the data distribution, we used the Wilcoxon signed-rank test (Wilcoxon, 1945), a non-parametric alternative to the one-sample ttest, to analyze the preliminary efficacy outcomes.”
From Feasibility, Acceptability and Preliminary Efficacy of Dialectical Behavior Therapy for Autistic Adults without Intellectual Disability: A Mixed Methods Study (2022) · cites this paper as Wilcoxon, 1945
The Wilcoxon signed-rank test is more powerful than the sign test and its variants.
“The Wilcoxon signed-rank test makes use of such a rank and hence, while it does not consider the evaluation measure values, it is more powerful than the sign test and its variants.”
From The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing (2018) · cites this paper as Wilcoxon, 1945
The paper used a Wilcoxon signed-rank test with Holm's alpha correction for pairwise post-hoc analysis.
“Once we have established that a statistical difference exists within the classifiers' performance, we followed the pairwise post-hoc analysis recommended by Benavoli et al. (2016) where the average rank comparison is replaced by a Wilcoxon signed-rank test (Wilcoxon, 1945) with Holm's alpha correction (Holm, 1979; Garcia and Herrera, 2008).”
From Deep learning for time series classification: a review (2019) · cites this paper as Wilcoxon, 1945
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A swarm optimization algorithm inspired in the behavior of the social-spider
Cuevas, E., Cienfuegos, M., Zaldívar, D., et al. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.05.041 · Cited by 574 · see citing works
Back disorders and nonneutral trunk postures of automobile assembly workers.
Punnett, L., Fine, L. J., Keyserling, W. M., Herrin, G. D., & Chaffin, D. B. (1991) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.1700 · Cited by 575 · see citing works
Enzyme-Replacement Therapy in Life-Threatening Hypophosphatasia
Whyte, M. P., Greenberg, C. R., Salman, N., Bober, M. B., McAlister, W. H., Wenkert, D., Sickle, B. J. V., Simmons, J. H., Edgar, T. S., Bauer, M. L., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1106173 · Cited by 564 · see citing works
The Wilcoxon signed rank test for paired comparisons of clustered data
Rosner, B., Glynn, R. J., & Lee, M. T. (2006) · Biometrics · doi:10.1111/j.1541-0420.2005.00389.x · Cited by 557 · see citing works
- Authors
- Wilcoxon, F.
- Corresponding author
- Wilcoxon, Frank
- Venue
- Biometrics Bulletin
- Publisher
- JSTOR
- Published
- 1945-12
- Volume
- 1
- Issue
- 6
- Pages
- 80
- ISSN
- 0099-4987 (ISSN-L)
- OpenAlex
- W4252684946
- Cited by
- 15,354
- References
- 1
- Citations by year
- 2026: 1806 · 2025: 931 · 2024: 803 · 2023: 760 · 2022: 826 · 2021: 1019 · 2020: 981 · 2019: 925 · 2018: 789 · 2017: 657 · 2016: 675 · 2015: 552 · 2014: 568 · 2013: 457 · 2012: 455
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrics Bulletin (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Game Theory and Voting Systems
- Keywords
- ranking algorithms, nonparametric comparison, rank tests
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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