A method for temporal probabilistic reasoning
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abstract: Temporal reasoning in complex environments often involves the interpretation of evidence under uncertainty. We have been studying the application of probabilistic reasoning techniques to the problem of temporal-data interpretation. In this report, we discuss techniques for inferring the probability of current hypotheses given temporal evidence. After reviewing the background of the problem we present our problem-solving approach and discuss a prototype implementation.
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| Abstract | Temporal reasoning in complex environments … Temporal reasoning in complex environments often involves the interpretation of evidence under uncertainty. We have been studying the application of probabilistic reasoning techniques to the problem of temporal-data interpretation. In this report, we discuss techniques for inferring the probability of current hypotheses given temporal evidence. After reviewing the background of the problem we present our problem-solving approach and discuss a prototype implementation. ch and discuss a prototype implementation. |
| Author | Gregory F. Cooper +, Eric Horvitz +, and David Heckerman + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-88-30 + |
| Month | October + |
| Note | 23 pages. + |
| Number | KSL-88-30 + |
| Tag | Computer science + |
| Title | A Method for Temporal Probabilistic Reasoning + |
| Tr id | KSL-88-30 + |
| Year | 1990 + |
