Exploiting Causal Independence in Bayesian Network Inference

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Exploiting Causal Independence in Bayesian Network Inference

A new method is proposed for exploiting causal independencies in exact Bayesian network inference. A Bayesian network can be viewed as representing a factorization of a joint probability into the multiplication of a set of conditional probabilities. We present a notion of causal independence that enables one to further factorize the conditional probabilities into a combination of even smaller f...

متن کامل

Exploiting Causal Independence in Large Bayesian Networks

The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on the notion of causal independence have therefore been proposed, as these allow defining a probability distribution in terms of Boolean combinations of local distributions. However, for very large networks even this appr...

متن کامل

Exploiting Functional Dependence in Bayesian Network Inference

In this paper we propose an efficient method for Bayesian network inference in models with functional dependence. We generalize the multiplicative factorization method originally designed by Takikawa and D’Ambrosio (1999) for models with independence of causal influence. Using a hidden variable, we transform a probability potential into a product of two-dimensional potentials. The multiplicativ...

متن کامل

Causal independence for probability assessment and inference using Bayesian networks

A Bayesian network is a probabilistic representation for uncertain relationships, which has proven to be useful for modeling real-world problems. When there are many potential causes of a given e ect, however, both probability assessment and inference using a Bayesian network can be di cult. In this paper, we describe causal independence, a collection of conditional independence assertions and ...

متن کامل

Inference with Causal Independence in the CPSC Network

This paper reports experiments with the causal independence inference algorithm pro­ posed by Zhang and Poole (1994b) on the CPSC network created by Pradhan et a/ (1994). It is found that the algorithm is able to answer 420 of the 422 possible zero­ observation queries, 94 of 100 randomly gen­ erated five-observation queries, 87 of 100 randomly generated ten-observation queries, and 69 of 100 r...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Artificial Intelligence Research

سال: 1996

ISSN: 1076-9757

DOI: 10.1613/jair.305