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Analysis Of Uncertain Data: Evaluation Of Given Hypotheses, Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
Analysis Of Uncertain Data: Evaluation Of Given Hypotheses, Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
Jaime G. Carbonell
We consider the problem of heuristic evaluation of given hypotheses based on limited observations, in situations when available data are insufficient for rigorous statistical analysis.
Scheduling With Uncertain Resources: Learning To Ask The Right Questions, Alexander Carpentier, Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
Scheduling With Uncertain Resources: Learning To Ask The Right Questions, Alexander Carpentier, Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
Jaime G. Carbonell
We consider the task of scheduling a conference based on incomplete information about resources and constraints, which requires elicitation of additional data, and describe a learning procedure that improves elicitation strategies. We outline the representation of incomplete knowledge, and then describe an adaptive elicitation procedure, which learns to identify critical missing data.
Analysis Of Uncertain Data: Tools For Representation And Processing, Bin Fu, Eugene Fink, Jaime G. Carbonell
Analysis Of Uncertain Data: Tools For Representation And Processing, Bin Fu, Eugene Fink, Jaime G. Carbonell
Jaime G. Carbonell
We present initial work on a general-purpose system for the analysis of incomplete and uncertain data, integrated with Excel. We explain the representation of main types of uncertainty, and outline tools for the analysis of uncertain data and planning of additional data collection
Scheduling With Uncertain Resources: Learning To Make Reasonable Assumptions, Steven Gardiner, Eugene Fink, Jaime G. Carbonell
Scheduling With Uncertain Resources: Learning To Make Reasonable Assumptions, Steven Gardiner, Eugene Fink, Jaime G. Carbonell
Jaime G. Carbonell
We consider the task of scheduling a conference based on incomplete information about resources and constraints, and describe a mechanism for the dynamic learning of related default assumptions, which enable the scheduling system to make reasonable guesses about missing data. We outline the representation of incomplete knowledge, describe the learning procedure, and demonstrate that the learned knowledge improves the scheduling results.
Scheduling With Uncertain Resources: Representation Of Common Knowledge, Eugene Fink, P. Matthew Jennings, Konstantin Salomatin, Jaime G. Carbonell
Scheduling With Uncertain Resources: Representation Of Common Knowledge, Eugene Fink, P. Matthew Jennings, Konstantin Salomatin, Jaime G. Carbonell
Jaime G. Carbonell
We describe a system for scheduling a conference based on incomplete information about available resources and scheduling constraints. We explain the representation of uncertain knowledge and related common-sense rules, which allow reasoning based on uncertain and partially missing data.
Analysis Of Uncertain Data: Evaluation Of Given Hypotheses, Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
Analysis Of Uncertain Data: Evaluation Of Given Hypotheses, Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
Jaime G. Carbonell
We consider the problem of heuristic evaluation of given hypotheses based on limited observations, in situations when available data are insufficient for rigorous statistical analysis.
Analysis Of Uncertain Data: Selection Of Probes For Information Gathering, Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
Analysis Of Uncertain Data: Selection Of Probes For Information Gathering, Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell
Jaime G. Carbonell
We consider the problem of gathering data for evaluation of given hypotheses, and describe a method for analyzing tradeoffs between the expected utility and the cost of data collection.