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Prédiction de modèles structurés d'opinion : aspects théoriques et méthodologiques

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Table 2.1 – Categorization of emotions depending on some characteristics of the situation encountered by an individual (extracted from R OSEMAN [ 1984 ])
Figure 3.1 – Examples of surrogate functions on the 0-1 loss function sign(y ˆs(x)). Different surrogates lead to different statistical and algorithmic properties of the learning problem.
Figure 4.2 – Valence query and preference query annotation campaigns
Figure 4.3 – Preference function prediction setting with a fixed set of objects. The prediction task consists in finding the last row i.e
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