Credal Networks under Maximum Entropy
<p>In this paper, we focus on the combination of probabilistic logic programming with the principle of maximum entropy. We start by defining probabilistic queries to probabilistic logic programs and their answer substitutions under maximum entropy. We then present an efficient linear programmi...
| Auteur principal: | |
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| Format: | Conference item |
| Publié: |
Morgan Kaufmann
2000
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| _version_ | 1826258422485483520 |
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| author | Lukasiewicz, T |
| author_facet | Lukasiewicz, T |
| author_sort | Lukasiewicz, T |
| collection | OXFORD |
| description | <p>In this paper, we focus on the combination of probabilistic logic programming with the principle of maximum entropy. We start by defining probabilistic queries to probabilistic logic programs and their answer substitutions under maximum entropy. We then present an efficient linear programming characterization for the problem of deciding whether a probabilistic logic program is satisfiable. Finally, and as a central contribution of this paper, we introduce an efficient technique for approximative probabilistic logic programming under maximum entropy. This technique reduces the original entropy maximization task to solving a modified and relatively small optimization problem.</p> |
| first_indexed | 2024-03-06T18:33:45Z |
| format | Conference item |
| id | oxford-uuid:0a892a13-b60a-4e9a-ba47-a65ba2b89ac1 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T18:33:45Z |
| publishDate | 2000 |
| publisher | Morgan Kaufmann |
| record_format | dspace |
| spelling | oxford-uuid:0a892a13-b60a-4e9a-ba47-a65ba2b89ac12022-03-26T09:24:21ZCredal Networks under Maximum EntropyConference itemhttp://purl.org/coar/resource_type/c_5794uuid:0a892a13-b60a-4e9a-ba47-a65ba2b89ac1Department of Computer ScienceMorgan Kaufmann2000Lukasiewicz, T<p>In this paper, we focus on the combination of probabilistic logic programming with the principle of maximum entropy. We start by defining probabilistic queries to probabilistic logic programs and their answer substitutions under maximum entropy. We then present an efficient linear programming characterization for the problem of deciding whether a probabilistic logic program is satisfiable. Finally, and as a central contribution of this paper, we introduce an efficient technique for approximative probabilistic logic programming under maximum entropy. This technique reduces the original entropy maximization task to solving a modified and relatively small optimization problem.</p> |
| spellingShingle | Lukasiewicz, T Credal Networks under Maximum Entropy |
| title | Credal Networks under Maximum Entropy |
| title_full | Credal Networks under Maximum Entropy |
| title_fullStr | Credal Networks under Maximum Entropy |
| title_full_unstemmed | Credal Networks under Maximum Entropy |
| title_short | Credal Networks under Maximum Entropy |
| title_sort | credal networks under maximum entropy |
| work_keys_str_mv | AT lukasiewiczt credalnetworksundermaximumentropy |