Searching for "Calibrating Randomness." – sorted by Relevance.
-
Calibrating randomness
- CALIBRATING RANDOMNESS ROD DOWNEY, DENIS R. HIRSCHFELDT, ANDRÉ NIES, AND SEBASTIAAN A. TERWIJN
- Cited by 37 (23 self) – Add To MetaCart
-
An Empirical Comparison of Supervised Learning Algorithms
- models are calibrated boosted trees, calibrated random forests, bagged trees, PLT-calibrated SVMs
- Cited by 13 (1 self) – Add To MetaCart
-
Regression Modeling and Validation Strategies
- Figure 2: Calibration of random predictions using Efron’s bootstrap with 50 re-samples and 40 patients
- Add To MetaCart
-
COMPUTABILITY, TRACEABILITY AND BEYOND
- of the relationship between computability and randomness. How do we calibrate randomness for infinite binary strings
- Add To MetaCart
-
Algorithmic Randomness and Computability
- to the work of Kurtz [50], Kautz [38], and Solovay [89], and other calibrations of randomness based
- Add To MetaCart
-
Good Sequerntial Probability Forecasting Is Always Possible
- . . . . . . . . . . . . . . . . . . . . 20 B Properly calibrated randomized forecasting 21 C Skeptic’s universal strategy 23 D Jeffreys’s law
- Add To MetaCart
-
Asymptotic Calibration
- randomized forecasts. By carefully choosing our definition of calibration for randomized forecast, we show
- Cited by 31 (2 self) – Add To MetaCart
-
Fast Switching Phase Correction Revisited for 64 12 m Antennas
- %). These gain errors are due to thermal noise on the calibrator and will be randomized every calibration cycle
- Cited by 1 (1 self) – Add To MetaCart
-
The Perceptual Consequences of Creating a Realistic,
- to “average out” or perceptually calibrate to random distortion caused by reverberation when signals
- Add To MetaCart
-
Assessment and Propagation of Model Uncertainty
- and calibration to random-effects methods, such as the empirical-Bayes approach mentioned above, that deal more
- Cited by 61 (0 self) – Add To MetaCart

