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ICML
2009
IEEE
16 years 7 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
SIGSOFT
2001
ACM
16 years 7 months ago
Combining UML and formal notations for modelling real-time systems
This article explores a dual approach to real-time software development. Models are written in UML, as this is expected to be relatively easy and economic. Then models are automat...
Luigi Lavazza, Gabriele Quaroni, Matteo Venturelli
ICIAP
2009
ACM
16 years 7 months ago
Pathnodes Integration of Standalone Particle Filters for People Tracking on Distributed Surveillance Systems
In this paper, we present a new approach to object tracking based on batteries of particle filter working in multicamera systems with non overlapped fields of view. In each view th...
Roberto Vezzani, Davide Baltieri, Rita Cucchiara
CHI
2009
ACM
16 years 7 months ago
Tailoring websites to increase contributions to online communities
Many online communities experience insufficient contributions from their members. In order to encourage contributions to the community, we examined a website tailoring approach to...
Min Kyung Lee, Tawanna Dillahunt, Bryan A. Pendlet...
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...