Generalized Opinion Pooling

In this paper we analyze the problem of opinion pooling. We introduce a divergence minimization framework to solve the problem of standard opinion pooling. Our results show that various existing pooling mechanisms like LinOp and LogOp are an special case of this framework. This framework is then extended to address the problem of generalized opinion pooling. We show that this framework does satisfies various desiderata and we give an EM algorithm for solving this problem. Finally we present some results on synthetic and real world data and the results obtained are encouraging.

• Type: Conference
• Year: 2004
• Where: AMAI
• Authors: Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu
• Keywords: AMAI 2004, Artificial Intelligence, Opinion Pooling, Standard Opinion Pooling, Various Existing Pooling