Sciweavers

548 search results - page 9 / 110
» Iterated importance sampling in missing data problems
Sort
View
WCE
2007
13 years 8 months ago
Iterative Single-Image Digital Super-Resolution Using Partial High-Resolution Data
—The subject of extracting high-resolution data from low-resolution images is one of the most important digital processing applications in recent years, attracting much research....
Eran Gur, Zeev Zalevsky
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
14 years 24 days ago
Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
Pedro J. Ballester, Jonathan N. Carter
BMCBI
2004
150views more  BMCBI 2004»
13 years 7 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 8 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
ICASSP
2011
IEEE
12 years 11 months ago
Content preference estimation in online social networks: Message passing versus sparse reconstruction on graphs
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
Jacob Chakareski