Properly initialized Bayesian Network for decision making leveraging random forest

Wireless Sensor Network for Forest Fire Detection and Decision Making

ISSN: 2319-1120 /V2N3: 299-309 © IJAEST Abstract— Wireless sensor network technologies normally deploy a large number of small, low cost sensors, fairly densely that can observe and influence the physical world around them by gathering physical information, transform it into electrical signals, send it to a remote location to do some analysis and deploy the results in different applications. Th...

Author gender identification from text using Bayesian Random Forest

Nowadays high usage of users from virtual environments and their connection via social networks like Facebook, Instagram, and Twitter shows the necessity of finding out shared subjects in this environment more than before. There are several applications that benefit from reliable methods for inferring age and gender of users in social media. Such applications exist across a wide area of fields,...

A Bayesian Network Based Framework for Multi-criteria Decision Making

Multi-Criteria Decision Making (MCDM) involves the selection of the best actions from a set of alternatives, each of which is evaluated against multiple, and often conflicting, criteria. Most of the existing MCDM methods only focus on decisions under certainty. The criteria were evaluated separately as if they were independent of each other. Complex, often uncertain interactions between criteri...

Dynamic Bayesian Decision - Making :

Bayesian Decision Making Theory