Model Construction Algorithms for Object-Oriented Probabilistic Relational Models

نویسندگان

  • Catherine Howard
  • Markus Stumptner
چکیده

This paper presents three new algorithms for the automatic construction of models from Object Oriented Probabilistic Relational Models. The first two algorithms are based on the knowledge based model construction approach while the third is based on an Object Oriented Bayesian Network instance tree triangulation method. We discuss the strengths and limitations of each of the algorithms and compare their performance against the knowledge based model construction and Structured Variable Elimination algorithms developed for Probabilistic Relational Models.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Modelsaz: An Object-Oriented Computer-Aided Modeling Environment

Modeling and simulation of processing plants are widely used in industry. Construction of a mathematical model for a plant is a time-consuming and error-prone task. In light of extensive advancements in computer science (both hardware and software), computers are becoming a necessary instrument in industrial activities. Many software tools for modeling, simulation and optimization of proces...

متن کامل

Reinforcing the Object-Oriented Aspect of Probabilistic Relational Models

Representing uncertainty in knowledge is a common issue in Artificial Intelligence. Bayesian Networks have been one of the main models used in this field of research. The simplicity of their specification is one of the reason for their success, both in industrial and in theoretical domains. The widespread use of Bayesian Networks brings new challenges in the design and use of largescale systems...

متن کامل

Situation Assessment with Object Oriented Probabilistic Relational Models

This paper presents a new Object Oriented Probabilistic Relational language which is built upon the Bangsø Object Oriented Bayesian Network framework. We are currently studying the application of this language for situation assessment in complex military and business domains.

متن کامل

Multi-Relational Data Mining using Probabilistic Models Research Summary

We are often faced with the challenge of mining data represented in relational form. Unfortunately, most statistical learning methods work only with “flat” data representations. Thus, to apply these methods, we are forced to convert the data into a flat form, thereby not only losing its compact representation and structure but also potentially introducing statistical skew. These drawbacks sever...

متن کامل

An Attribute-based Model for Semantic Retrieval

This paper introduces a knowledge-oriented approach for modelling semantic search. The modelling approach represents both semantic and textual data in one unifying framework, referred to as the probabilistic object-relational content modelling framework. The framework facilitates the transformation of “term-only” retrieval models into “semantic-aware” retrieval models that consist of semantic p...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006