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ECIR
2011
Springer
14 years 10 months ago
Back to the Roots: Mean-Variance Analysis of Relevance Estimations
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
IAT
2006
IEEE
16 years 26 days ago
Goal-Oriented Development of BDI Agents: The PRACTIONIST Approach
The representation of goals and the ability to reason about them play an important role in goal-oriented requirements analysis and modelling techniques, especially in agent-orient...
Vito Morreale, Susanna Bonura, Giuseppe Francavigl...
DATE
2009
IEEE
148views Hardware» more  DATE 2009»
16 years 1 months ago
Visual quality analysis for dynamic backlight scaling in LCD systems
—With the trend toward high-quality large form factor displays on high-end handhelds, LCD backlight accounts for a significant and increasing percentage of the total energy budg...
Andrea Bartolini, Martino Ruggiero, Luca Benini
FSKD
2009
Springer
145views Fuzzy Logic» more  FSKD 2009»
16 years 1 months ago
Chinese Web Comments Clustering Analysis with a Two-phase Method
Usually a meaningful web topic has tens of thousands of comments, especially the hot topics. It is valuable if we congregate the comments into clusters and find out the mainstrea...
Yexin Wang, Li Zhao, Yan Zhang
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
16 years 1 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin