The application of information theory to problems in decision tree design and rule-based expert systems

von Smyth, Padhraic
Veröffentlicht 1988

Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration

von Kerrigan, Gavin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

CAN I TRUST MY FAIRNESS METRIC? ASSESSING FAIRNESS WITH UNLABELED DATA AND BAYESIAN INFERENCE

von Ji, Disi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

Modeling the Internet and the Web : probabilistic methods and algorithms

von Baldi, Pierre
Veröffentlicht 2003

Modeling the Internet and the Web : probabilistic methods and algorithms

von Baldi, Pierre
Veröffentlicht 2003

Modeling the internet and the web : probabilistic methods and algorithms

von Baldi, Pierre
Veröffentlicht 2003

Principles of data mining

von Hand, D. J.
Veröffentlicht 2001

Principles of data mining

von Hand, D. J.
Veröffentlicht 2001

Principles of data mining

von Hand, D. J.
Veröffentlicht 2001

Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning

von Li, Aodong
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

Predictive Querying for Autoregressive Neural Sequence Models

von Boyd, Alex
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 31 of 50 (2023)

USER-DEPENDENT NEURAL SEQUENCE MODELS FOR CONTINUOUS-TIME EVENT DATA

von Boyd, Alex
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 26 of 27 (2021)

Fair Generalized Linear Models with a Convex Penalty

von Do, Hyungrok
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 7 of 33 (2023)