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» The maximum entropy method for analyzing retrieval measures
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BMCBI
2010
138views more  BMCBI 2010»
13 years 6 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
13 years 7 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...
MM
2009
ACM
174views Multimedia» more  MM 2009»
14 years 1 months ago
Comparing fact finding tasks and user survey for evaluating a video browsing tool
There are still no established methods for the evaluation of browsing and exploratory search tools. In the (multimedia) information retrieval community evaluations following the C...
Werner Bailer, Herwig Rehatschek
WISE
2008
Springer
14 years 1 months ago
Web-Based Measure of Semantic Relatedness
Semantic relatedness measures quantify the degree in which some words or concepts are related, considering not only similarity but any possible semantic relationship among them. Re...
Jorge Gracia, Eduardo Mena
ACL
2006
13 years 8 months ago
Subword-Based Tagging for Confidence-Dependent Chinese Word Segmentation
We proposed a subword-based tagging for Chinese word segmentation to improve the existing character-based tagging. The subword-based tagging was implemented using the maximum entr...
Ruiqiang Zhang, Gen-ichiro Kikui, Eiichiro Sumita