Showing 1 - 20 results of 5,148 for search '(((( learning observed decrease ) OR ( _ largest decrease ))) OR ( i values decrease ))', query time: 0.54s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

    TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs.... by Brent J. Bellinger (21156150)

    Published 2025
    “…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs. …”
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14

    Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

    Published 2025
    “…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
  15. 15
  16. 16

    S1 File - by Chantelle M. de Vet (16535257)

    Published 2024
    “…</p><p>Conclusions</p><p>A clear learning effect was observed by the significant decrease in variability of the difference in the score between the expert and trainees over time. …”
  17. 17
  18. 18
  19. 19

    Observer model and human/model behavior for two observers. by Sarit F.A. Szpiro (21094755)

    Published 2025
    “…The training-induced increase in sensory gain generates fewer likelihoods on the wrong side of the boundary and interacts with the efficient coding and unaware decoding to reduce internal evidence for motion near the horizontal boundary (i.e., “boundary avoidance”). This decreases misclassifications of motion directions (i.e., increases discrimination accuracy) and amplifies estimation bias. …”
  20. 20