«bayesian network»
۲۵٬۲۰۶ نتیجهVisualizing Inference in Bayesian Networks
Inference in Bayesian networks is used to calculate the posterior probability distributions of unobserved variables in a network. These posterior probability distributions are used to draw conclusions and are the basis for decisions, in the domain of a particular model. Inference
Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition
The automatic recognition of dialogue act is a task of crucial importance for the processing of natural language dialogue at discourse level. It is also one of the most challenging problems as most often the dialogue act is not expressed directly in speaker’s utterance. In this p
Bayesian Network Games
This thesis builds from the realization that Bayesian Nash equilibria are the natural definition of optimal behavior in a network of distributed autonomous agents. Game equilibria are often behavior models of competing rational agents that take actions that are strategic reaction
A Parallel Algorithm for Estimating Genome-Wide Gene Networks using Nonparametric Bayesian Networks
We present a novel algorithm for estimating genome-wide gene networks using nonparametric Bayesian network models [3]. The algorithm, which is called the Neighbor Node Sampling & Repeat (NNSR) algorithm, is capable of searching a Bayesian network structure consisting of more than
Bayesian Networks for Expert Systems: Theory and Practical Applications
Bayesian network are widely accepted as models for reasoning with uncertainty. In this chapter we focus on models that are created using domain expertise only. After a short review of Bayesian networks models and common Bayesian network modeling approaches, we will discuss in mor
Building adaptive tests using Bayesian networks
1 JlŘÍ VOMLEL Wc propose a framework for building decision strategies using Bayesian network models and discuss its application to adaptive testing. Dynamic programming and AO* algorithm are used to find optimal adaptive tests. The proposed AO* algorithm is based on a new admissi
Bayesian networks: A teacher's view
1. Teachers’ questions Bayesian networks are becoming an increasingly popular way of representing the state of a student’s knowledge, skills, or abilities, especially in intelligent learning environments (for example, ACED [1]). The display capability of most Bayesian network sof
A Hybrid Personalized Recommendation Method Based on Dynamic Bayesian Network
With the rapid growth and wide application of electronic commerce, lots of information comes forth to people. However, our experiences and knowledge often do not enough to process the vast amount of information. The problem of obtaining useful information becomes more and more se
Biometric Implementation of Bayesian Networks for Face Recognition on Android Mobile Devices
Face recognition is a field that receives attention and inquiry by Artificial Intelligence, Computer Security and Intelligent Data Processing researchers. Its application as a biometric has also grown due to the growth of the camera technologies. The digital camera’s resolution a
Broad phonetic classification using discriminative Bayesian networks
We present an approach to broad phonetic classification, defined as mapping acoustic speech frames into broad (or clustered) phonetic categories. Our categories consist of silence, general voiced, general unvoiced, mixed sounds, voiced closure, and plosive release, and are suffic