Probabilistic Logic with Strong Independence

Cozman, Fábio Gagliardi; Campos, Cassio P. de; Rocha, José Carlos Ferreira da

doi:10.1007/11874850_65

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…The same problem appears with chain graphs[9]; that is, the same failure of factorization may happen in the presence of logical constraints. We have entertained the use of chain graphs in probabilistic logic[14]; however, we have concluded this not to be feasible, and reverted to a previous proposal[20].…”

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confidence: 88%

Probabilistic logic with independence

Cozman

Campos

Rocha

2008

International Journal of Approximate Reasoning

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This paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider graph-theoretic representations for propositional probabilistic logic with independence; complexity is analyzed, algorithms are derived, and examples are discussed. Finally, we examine a restricted first-order probabilistic logic that generalizes relational Bayesian networks.

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confidence: 88%

Probabilistic logic with independence

Cozman

Campos

Rocha

2008

International Journal of Approximate Reasoning

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“…QueryGuesser uses causal inference to determine the feature values relevant to a given user and diagnostic inference to discover the relevance of feature values within a given topic of interest. From the various existing algorithms developed to perform inference in BN, we use the bucket elimination algorithm (Dechter, 1996;Cozman, 2000).…”

Section: Applying Bayesian Inference Mechanismsmentioning

confidence: 99%

An Interface Agent Approach to Personalize Users' Interaction with Databases

Schiaffino

Amandi

2005

J Intell Inf Syst

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Making queries to a database system through a computer application can become a repetitive and time-consuming task for those users who generally make similar queries to get the information they need to work with. We believe that interface agents could help these users by personalizing the query-making and information retrieval tasks. Interface agents are characterized by their ability to learn users' interests in a given domain and to help them by making suggestions or by executing tasks on their behalf. Having this purpose in mind we have developed an agent, named QueryGuesser, to assist users of computer applications in which retrieving information from a database is a key task. This agent observes a user's behavior while he is working with the database and builds the user's profile. Then, QueryGuesser uses this profile to suggest the execution of queries according to the user's habits and interests, and to provide the user information relevant to him by making time-demanding queries in advance or by monitoring the events and operations occurring in the database system. In this way, the interaction between database users and databases becomes personalized while it is enhanced.

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Probabilistic Logic with Strong Independence

Cited by 2 publications

References 25 publications

Probabilistic logic with independence

Probabilistic logic with independence

An Interface Agent Approach to Personalize Users' Interaction with Databases

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