A PROBABILISTIC APPROACH TO SELF-DIAGNOSIS PROCESS
نویسندگان
چکیده
منابع مشابه
A Transformational Approach to Probabilistic Process Equivalence
We investigate the problem of the equivalence of probabilistic processes modelled via probabilistic transition systems. We concentrate on bisimulation equivalence. Our approach goes beyond checking whether two processes are bisimilar or not. Rather than simply rejecting processes with different semantics, we transform them into processes which are now bisimilar and whose behaviour is similar en...
متن کاملA Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis
Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...
متن کاملSelf-directedness: a process approach to cognition
Standard approaches to cognition emphasise structures (representations and rules) much more than processes, in part because this appears to be necessary to capture the normative features of cognition. However the resultant models are inflexible and face the problem of computational intractability. I argue that the ability of real world cognition to cope with complexity results from deep and sub...
متن کاملA Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis
Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...
متن کاملA Probabilistic Approach to Hierarchical Model-based Diagnosis
Model-based diagnosis reasons backwards from a functional schematic of a system to isolate faults given observations of anoma lous behavior. We develop a fully proba bilistic approach to model based diagno sis and extend it to support hierarchical models. Our scheme translates the func tional schematic into a Bayesian network and diagnostic inference takes place in the Bayesian network. A B...
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: V mire nauchnykh otkrytiy
سال: 2015
ISSN: 2307-9428,2072-0831
DOI: 10.12731/wsd-2015-2-13