资源分类
》 资源 》论文》Models for Conditional Preferences as Extensions of CP-Nets

Models for Conditional Preferences as Extensions of CP-Nets

2019-11-20 | |  47 |   32 |   0
Abstract This paper presents two frameworks that generalize Conditional Preference networks (CP-nets). The first generalization is the LCP-theory, first order logic theory that provides a rich framework to express preferences. The the second generalization, the PCP-networks, is a probabilistic generalization of CP-nets that models conditional preferences with uncertainty.

上一篇：A Distributed Platform to Ease the Development of Recommendation Algorithms on Large-Scale Graphs

下一篇：Learning Efficient Logic Programs

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...