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» Models for the Compressible Web
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WWW
2011
ACM
15 years 2 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
ICPR
2008
IEEE
16 years 8 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
GIS
2006
ACM
16 years 8 months ago
Analyzing theme, space, and time: an ontology-based approach
The W3C's Semantic Web Activity is illustrating the use of semantics for information integration, search, and analysis. However, the majority of the work in this community ha...
Matthew Perry, Farshad Hakimpour, Amit P. Sheth
ICML
2004
IEEE
16 years 8 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
WWW
2009
ACM
16 years 7 months ago
An effective semantic search technique using ontology
In this paper, we present a semantic search technique considering the type of desired Web resources and the semantic relationships between the resources and the query keywords in ...
Jihyun Lee, Jun-Ki Min, Chin-Wan Chung