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Learning sparse heterogeneous user preferences
2012Models of user preferences will be at the core of the next generation of personalized Infor- mation Systems. We propose HPREF, an algorithm for learning a hierarchical, probabilistic preference model that integrates sparse preferences from multiple like-minded users in a principled fashion.
Peters, Markus, Ketter, Wolfgang
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Heterogeneous beliefs under recursive preferences [PDF]
We analyze the impact of heterogeneous beliefs in economies where agents have recursive preferences of the Kreps-Porteus type and differ in their subjective beliefs about the distributions of future quantities. We show that the set of Pareto optimal allocations is given as a solution to a planner's problem with Pareto weights evolving according to an ...
openaire
Tumour heterogeneity and resistance to cancer therapies
Nature Reviews Clinical Oncology, 2017Ibiayi Dagogo-Jack
exaly
Cancer statistics for adolescents and young adults, 2020
Ca-A Cancer Journal for Clinicians, 2020Kimberly D Miller +2 more
exaly
Revealed Heterogeneity in Risk Preference
SSRN Electronic Journal, 2021Bin Miao, shuangyu yang, Songfa Zhong
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Clinical management of breast cancer heterogeneity
Nature Reviews Clinical Oncology, 2015Dimitrios Zardavas +2 more
exaly

