Sciweavers

1553 search results - page 109 / 311
» Learning from Multiple Sources of Inaccurate Data
Sort
View
129
Voted
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 4 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
150
Voted
IWPC
2010
IEEE
15 years 2 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk
MCS
2009
Springer
15 years 10 months ago
Ensemble Based Data Fusion for Gene Function Prediction
The availability of an ever increasing amount of data sources due to recent advances in high throughput biotechnologies opens unprecedented opportunities for genome-wide gene funct...
Matteo Re, Giorgio Valentini
POPL
2012
ACM
13 years 11 months ago
Multiple facets for dynamic information flow
JavaScript has become a central technology of the web, but it is also the source of many security problems, including cross-site scripting attacks and malicious advertising code. ...
Thomas H. Austin, Cormac Flanagan
170
Voted
ER
1999
Springer
155views Database» more  ER 1999»
15 years 8 months ago
Detecting Redundancy in Data Warehouse Evolution
A Data Warehouse DW can be abstractly seen as a set of materialized views de ned over a set of remote data sources. A DW is intended to satisfy a set of queries. The views materi...
Dimitri Theodoratos