intensify 发表于 2025-3-21 19:20:18

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甜食 发表于 2025-3-21 20:44:21

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engagement 发表于 2025-3-22 02:11:26

Parameter Estimation Algorithms,In this chapter, we will focus on parameter estimation algorithms for the statistical models for rank data introduced in Chapter 2. Given a statistical model . and data ., the goal is to compute parameters that “best” explain the data. One natural approach is to compute the .:

Inculcate 发表于 2025-3-22 05:36:08

The Rank-Breaking Framework,The two GMM algorithms (Algorithms 3.7 and 3.10) in the last chapter share the same pattern shown in Figure 4.1.

GUILE 发表于 2025-3-22 11:27:22

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Obliterate 发表于 2025-3-22 14:05:09

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inclusive 发表于 2025-3-22 19:40:39

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BROW 发表于 2025-3-22 23:25:24

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争吵 发表于 2025-3-23 02:36:36

Socially Desirable Group Decision-Making from Rank Data,Scenario 1 in Chapter 1), fairness is a fundamental to democracy. In the group activity selection problem (Scenario 3 in Chapter 1), it is important to guarantee that the partition and activity selection are done in a fair way.

合适 发表于 2025-3-23 08:29:36

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查看完整版本: Titlebook: Learning and Decision-Making from Rank Data; Lirong Xia Book 2019 Springer Nature Switzerland AG 2019