Name
Title | ||
|---|---|---|
Inference and Prediction of Uncertain Events in Active Systems: A Language and Execution Model |
Abstract | ||
|---|---|---|
This paper presents initial research into a framework (specification and execution model) for inference, prediction, and decision making with uncertain events in active systems. This work is motivated by the observation that in many cases, there is a gap between the reported events that are used as a direct input to an active system, and the actual events upon which an active system must act. This paper motivates the work, surveys other efforts in this area, and presents preliminary ideas for both specification and execution model. |
Year | Venue | Field |
|---|---|---|
2003 | VLDB PhD Workshop | Data mining,Inference,Computer science,Execution model,Artificial intelligence,Active systems,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
8 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Segev Wasserkrug | 1 | 140 | 12.25 |