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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
WWW
2001
ACM
14 years 8 months ago
Efficient Acquisition of Web Data through Restricted Query Interfaces
A wealth of information is available on the Web. But often, such data are hidden behind form interfaces which allow only a restrictive set of queries over the underlying databases...
Cláudio T. Silva, Juliana Freire, Simon Bye...
WCRE
2009
IEEE
14 years 2 months ago
An Exploratory Study of the Impact of Code Smells on Software Change-proneness
—Code smells are poor implementation choices, thought to make object-oriented systems hard to maintain. In this study, we investigate if classes with code smells are more change-...
Foutse Khomh, Massimiliano Di Penta, Yann-Gaë...
INFOCOM
2009
IEEE
14 years 2 months ago
Fair Routing in Delay Tolerant Networks
—The typical state-of-the-art routing algorithms for delay tolerant networks are based on best next hop hill-climbing heuristics in order to achieve throughput and efficiency. T...
Josep M. Pujol, Alberto Lopez Toledo, Pablo Rodrig...
CIKM
2009
Springer
14 years 2 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu