Inference Algorithms for Similarity Networks

📝 Original Info

• Title: Inference Algorithms for Similarity Networks
• ArXiv ID: 1303.1493
• Date: 2015-05-19
• Authors: Researchers from original ArXiv paper

📝 Abstract

We examine two types of similarity networks each based on a distinct notion of relevance. For both types of similarity networks we present an efficient inference algorithm that works under the assumption that every event has a nonzero probability of occurrence. Another inference algorithm is developed for type 1 similarity networks that works under no restriction, albeit less efficiently.

💡 Deep Analysis

Deep Dive into Inference Algorithms for Similarity Networks.

We examine two types of similarity networks each based on a distinct notion of relevance. For both types of similarity networks we present an efficient inference algorithm that works under the assumption that every event has a nonzero probability of occurrence. Another inference algorithm is developed for type 1 similarity networks that works under no restriction, albeit less efficiently.

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Reference