Results 221 to 230 of about 1,141,332 (255)
Some of the next articles are maybe not open access.
2005
K-fold cross validation is a commonly used technique which takes a set of m examples and partitions them into K equal-size sets (folds) of size m/K. For each set, a classifier is trained on the other sets.
openaire +1 more source
K-fold cross validation is a commonly used technique which takes a set of m examples and partitions them into K equal-size sets (folds) of size m/K. For each set, a classifier is trained on the other sets.
openaire +1 more source
No Free Lunch for Cross-Validation
Neural Computation, 1996It is known theoretically that an algorithm cannot be good for an arbitrary prior. We show that in practical terms this also applies to the technique of “cross-validation,” which has been widely regarded as defying this general rule. Numerical examples are analyzed in detail. Their implications to researches on learning algorithms are discussed.
Huaiyu Zhu 0001, Richard Rohwer
openaire +2 more sources
Cross-Validation of the Booth Scale
Research Quarterly. American Association for Health, Physical Education and Recreation, 1966Abstract A study was conducted to attempt a cross-validation of the Booth Scale as a measure of competitive spirit. Six football teams and a non-athlete group failed to demonstrate any differences either on mean scale scores or on the frequency of good and poor scale-rated competitors. Item analysis likewise produced little evidence in support of cross-
W, Kroll, K H, Petersen
openaire +2 more sources
Cross-Validation of the Gordon Siv
Perceptual and Motor Skills, 1968Peer- and self-ratings, and Gordon SIV test scores were obtained from 41 males living in a college dormitory. 5 of 6 validity coefficients between self-ratings and the SIV scores were significantly different from zero, the r for Independence being the exception.
openaire +2 more sources
Nested cross-validation when selecting classifiers is overzealous for most practical applications
Expert Systems With Applications, 2021Jacques Wainer, Gavin C Cawley
exaly
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
Technometrics, 1979Grace Wahba, Gene H Golub
exaly +2 more sources
Procrustes Cross-Validation of short datasets in PCA context
Talanta, 2021Alexey Pomerantsev, Oxana Rodionova
exaly