Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
January 1, 1998IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)

Bias and variance of validation methods for function approximation neural networks under conditions of sparse data

View Full Paper
Ask AI
Bookmark
Share

Authors

JTJanet TwomeyWichita State UniversityASAlice E. SmithAuburn University

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Twomey et al. (1998) studied this question.

synapsesocial.com/papers/6a1bdeaeea84844e355f1780https://doi.org/10.1109/5326.704579
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1SOME EXAMPLES OF DISCRIMINATION1946 · 305 citations
  2. 2Estimation of Error Rates in Discriminant Analysis1968 · 464 citations
  3. 3Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation1983 · 581 citations
  4. 4A completely automatic french curve: fitting spline functions by cross validation1975 · 369 citations