Titlebook: Scalable Uncertainty Management; 14th International C Jesse Davis,Karim Tabia Conference proceedings 2020 Springer Nature Switzerland AG 20

一再遛

intercede

小木槌

流眼泪

Inference with Choice Functions Made Practicalhenever possible, and use this natural extension to make new choices. We present a practical algorithm to compute this natural extension and provide several methods that can be used to improve its scalability.

erythema

A Formal Learning Theory for Three-Way Clusteringtional hard clustering one, we provide a constructive proof of an existence theorem, that is, we show an algorithm which satisfies the proposed axioms. We also propose an axiomatic characterization of the three-way k-means algorithm family and draw comparisons between the two approaches.

痛恨

ONYM

极微小

内行

Score-Based Explanations in Data Management and Machine Learningrom classification models. The described approaches are mostly of a causal and counterfactual nature. We argue for the need to bring domain and semantic knowledge into score computations; and suggest some ways to do this.

ADJ