4773 search results - page 14 / 955 » Learning from Uncertain Data |
MP
2002
13 years 7 months ago
2002
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
KDD
1998
ACM
13 years 11 months ago
1998
ACM
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
AIED
2009
Springer
14 years 2 months ago
2009
Springer
We developed a new model for iList, our system that helps students learn linked list. The model is automatically extracted from past student data, and allows iList to track student...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
PVLDB
2008
13 years 7 months ago
2008
Query processing on uncertain data streams has attracted a lot of attentions lately, due to the imprecise nature in the data generated from a variety of streaming applications, su...