E-Books durchsuchen
Modeling Decisions for Artificial Intelligence [2023]
- 1
-
Logic Aggregators and Their Implementations
- 2
-
Multi-target Decision Making Under Conditions of Severe Uncertainty
- 3
-
Constructive Set Function and Extraction of a <italic>k</italic>-dimensional Element
- 4
-
Coherent Upper Conditional Previsions Defined by Fractal Outer Measures to Represent the Unconscious Activity of Human Brain
- 5
-
Discrete Chain-Based Choquet-Like Operators
- 6
-
On a New Generalization of Decomposition Integrals
- 7
-
Bipolar OWA Operators with Continuous Input Function
- 8
-
Cost-constrained Group Feature Selection Using Information Theory
- 9
-
Conformal Prediction for Accuracy Guarantees in Classification with Reject Option
- 10
-
Adapting the Gini’s Index for Solving Predictive Tasks
- 11
-
Bayesian Logistic Model for Positive and Unlabeled Data
- 12
-
A Goal-Oriented Specification Language for Reinforcement Learning
- 13
-
Improved Spectral Norm Regularization for Neural Networks
- 14
-
Preprocessing Matters: Automated Pipeline Selection for Fair Classification
- 15
-
Predicting Next Whereabouts Using Deep Learning
- 16
-
A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size
- 17
-
Local Differential Privacy Protocol for Making Key–Value Data Robust Against Poisoning Attacks
- 18
-
Differentially Private Graph Publishing Through Noise-Graph Addition