Matches in SemOpenAlex for { <https://semopenalex.org/work/W2364664540> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2364664540 abstract "In the process of Bayesian network structure learning,how to gather prior information and use it effectively are very important for building an exact network structure.Therefore,according to the three stages of Bayesian network structure learning with prior information: information gathering,information fusion and the optimization of learned network structure.Firstly,the deficiency of currently available methods that is used for obtaining prior information is discussed,and then a new method of gathering prior structure information based on so-called belief map is proposed.Secondly,the minimum description length score is modified so that it can fuse uncertain prior information.Finaly,a simulated annealing method is revised appropriately according to the characteristics of the problem for searching the optimal structure.Experimental results show that the proposed method can improve the precision of structure learning efficiently." @default.
- W2364664540 created "2016-06-24" @default.
- W2364664540 creator A5047096782 @default.
- W2364664540 date "2012-01-01" @default.
- W2364664540 modified "2023-09-24" @default.
- W2364664540 title "Structure learning method of Bayesian network with prior information" @default.
- W2364664540 hasPublicationYear "2012" @default.
- W2364664540 type Work @default.
- W2364664540 sameAs 2364664540 @default.
- W2364664540 citedByCount "1" @default.
- W2364664540 countsByYear W23646645402016 @default.
- W2364664540 crossrefType "journal-article" @default.
- W2364664540 hasAuthorship W2364664540A5047096782 @default.
- W2364664540 hasConcept C107673813 @default.
- W2364664540 hasConcept C111919701 @default.
- W2364664540 hasConcept C119599485 @default.
- W2364664540 hasConcept C119857082 @default.
- W2364664540 hasConcept C124101348 @default.
- W2364664540 hasConcept C126980161 @default.
- W2364664540 hasConcept C127413603 @default.
- W2364664540 hasConcept C138885662 @default.
- W2364664540 hasConcept C141353440 @default.
- W2364664540 hasConcept C154945302 @default.
- W2364664540 hasConcept C2779954242 @default.
- W2364664540 hasConcept C2988224531 @default.
- W2364664540 hasConcept C3020402766 @default.
- W2364664540 hasConcept C33724603 @default.
- W2364664540 hasConcept C41008148 @default.
- W2364664540 hasConcept C41895202 @default.
- W2364664540 hasConcept C98045186 @default.
- W2364664540 hasConceptScore W2364664540C107673813 @default.
- W2364664540 hasConceptScore W2364664540C111919701 @default.
- W2364664540 hasConceptScore W2364664540C119599485 @default.
- W2364664540 hasConceptScore W2364664540C119857082 @default.
- W2364664540 hasConceptScore W2364664540C124101348 @default.
- W2364664540 hasConceptScore W2364664540C126980161 @default.
- W2364664540 hasConceptScore W2364664540C127413603 @default.
- W2364664540 hasConceptScore W2364664540C138885662 @default.
- W2364664540 hasConceptScore W2364664540C141353440 @default.
- W2364664540 hasConceptScore W2364664540C154945302 @default.
- W2364664540 hasConceptScore W2364664540C2779954242 @default.
- W2364664540 hasConceptScore W2364664540C2988224531 @default.
- W2364664540 hasConceptScore W2364664540C3020402766 @default.
- W2364664540 hasConceptScore W2364664540C33724603 @default.
- W2364664540 hasConceptScore W2364664540C41008148 @default.
- W2364664540 hasConceptScore W2364664540C41895202 @default.
- W2364664540 hasConceptScore W2364664540C98045186 @default.
- W2364664540 hasLocation W23646645401 @default.
- W2364664540 hasOpenAccess W2364664540 @default.
- W2364664540 hasPrimaryLocation W23646645401 @default.
- W2364664540 hasRelatedWork W1501163499 @default.
- W2364664540 hasRelatedWork W1992191476 @default.
- W2364664540 hasRelatedWork W2022665301 @default.
- W2364664540 hasRelatedWork W2036398673 @default.
- W2364664540 hasRelatedWork W2075043712 @default.
- W2364664540 hasRelatedWork W2097838043 @default.
- W2364664540 hasRelatedWork W2249676289 @default.
- W2364664540 hasRelatedWork W2326372119 @default.
- W2364664540 hasRelatedWork W2352032530 @default.
- W2364664540 hasRelatedWork W2358447852 @default.
- W2364664540 hasRelatedWork W2363659509 @default.
- W2364664540 hasRelatedWork W2367837744 @default.
- W2364664540 hasRelatedWork W2385998561 @default.
- W2364664540 hasRelatedWork W2386690996 @default.
- W2364664540 hasRelatedWork W2512044834 @default.
- W2364664540 hasRelatedWork W2547255543 @default.
- W2364664540 hasRelatedWork W2984598724 @default.
- W2364664540 hasRelatedWork W793342979 @default.
- W2364664540 hasRelatedWork W1529739957 @default.
- W2364664540 hasRelatedWork W3094088952 @default.
- W2364664540 isParatext "false" @default.
- W2364664540 isRetracted "false" @default.
- W2364664540 magId "2364664540" @default.
- W2364664540 workType "article" @default.