Bayesian knowledge base tuning
نویسندگان
چکیده
منابع مشابه
A Probabilistic Knowledge Base Using Annotated Bayesian Network Features
The probabilistic modeling of a high dimensional domain includes the modeling of the joint distribution over the domain variables on numeric, qualitative and possibly causal levels. Additionally, it includes the combination of statistical data with domain knowledge acquired from experts and the usage of the result in a decision theoretic framework. We overview the Bayesian network representatio...
متن کاملKnowledge Base Tuning using Genetic Algorithm for Fuzzy Behavior-based Autonomous Mobile Robot
The attractive research in the field of robotics as a main alternative to conventional robot in recent years is Behavior-based mobile robot. This control architecture should generate perfect behavior action and able to handle conflicting actions that are seemingly irreconcilable, those are known as Behaviour Design Problem and Action Selection Problem. This paper presents a new schema to overco...
متن کاملTuning a Knowledge Base of Refinement Rules To Create Good Circuit Designs
The efficiency and optimality of a divide-and-conquer approach to design depends upon the associated hierarchy of implementation goals having sibling subgoals that interact only weakly or not at all. Unfortunately, in many domains the only easily acquirable design re finement knowledge leads to the formation of goal hierarchies that violate this assumption. In this paper, we describe a learnin...
متن کاملBayesian Knowledge -
Managing uncertainty in complex domains requires a exible and semantically sound knowledge representation. This is especially important during the initial knowledge engineering and subsequent maintenance of the knowledge base. We present a new model of knowledge representation called Bayesian Knowledge Bases. It uniies a \if-then" style rules with probability theory. We can prove that such a me...
متن کاملCommonsense Knowledge Base Completion
We enrich a curated resource of commonsense knowledge by formulating the problem as one of knowledge base completion (KBC). Most work in KBC focuses on knowledge bases like Freebase that relate entities drawn from a fixed set. However, the tuples in ConceptNet (Speer and Havasi, 2012) define relations between an unbounded set of phrases. We develop neural network models for scoring tuples on ar...
متن کاملذخیره 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: International Journal of Approximate Reasoning
سال: 2013
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2013.04.005