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AAAI
2011
12 years 9 months ago
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
Marion Neumann, Babak Ahmadi, Kristian Kersting
SIGMOD
2001
ACM
108views Database» more  SIGMOD 2001»
14 years 9 months ago
PREFER: A System for the Efficient Execution of Multi-parametric Ranked Queries
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
Vagelis Hristidis, Nick Koudas, Yannis Papakonstan...
WWW
2009
ACM
14 years 9 months ago
Graph based crawler seed selection
This paper identifies and explores the problem of seed selection in a web-scale crawler. We argue that seed selection is not a trivial but very important problem. Selecting proper...
Shuyi Zheng, Pavel Dmitriev, C. Lee Giles
BMCBI
2007
149views more  BMCBI 2007»
13 years 9 months ago
A unified framework for finding differentially expressed genes from microarray experiments
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
Jahangheer S. Shaik, Mohammed Yeasin
SODA
2008
ACM
131views Algorithms» more  SODA 2008»
13 years 10 months ago
PageRank and the random surfer model
In recent years there has been considerable interest in analyzing random graph models for the Web. We consider two such models - the Random Surfer model, introduced by Blum et al....
Prasad Chebolu, Páll Melsted