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» Discovering Classification from Data of Multiple Sources
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EKAW
2010
Springer
15 years 11 days ago
Scaling Up Question-Answering to Linked Data
Linked Data semantic sources, in particular DBpedia, can be used to answer many user queries. PowerAqua is an open multi-ontology Question Answering (QA) system for the Semantic We...
Vanessa Lopez, Andriy Nikolov, Marta Sabou, Victor...
SIGIR
2008
ACM
15 years 1 months ago
Exploring traversal strategy for web forum crawling
In this paper, we study the problem of Web forum crawling. Web forum has now become an important data source of many Web applications; while forum crawling is still a challenging ...
Yida Wang, Jiang-Ming Yang, Wei Lai, Rui Cai, Lei ...
FAST
2010
15 years 4 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
BMCBI
2006
130views more  BMCBI 2006»
15 years 1 months ago
MicroTar: predicting microRNA targets from RNA duplexes
Background: The accurate prediction of a comprehensive set of messenger RNAs (targets) regulated by animal microRNAs (miRNAs) remains an open problem. In particular, the predictio...
Rahul Thadani, Martti T. Tammi
ECCV
2010
Springer
15 years 2 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof