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» Learning to rank for information retrieval (LR4IR 2008)
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SEMCO
2008
IEEE
16 years 16 days ago
Semantic Search Meets the Web
While semantic search technologies have been proven to work well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety. In th...
Miriam Fernández, Vanessa Lopez, Marta Sabo...
IPM
2007
85views more  IPM 2007»
15 years 6 months ago
A retrospective study of a hybrid document-context based retrieval model
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....
ICML
2008
IEEE
16 years 7 months ago
Multi-classification by categorical features via clustering
We derive a generalization bound for multiclassification schemes based on grid clustering in categorical parameter product spaces. Grid clustering partitions the parameter space i...
Yevgeny Seldin, Naftali Tishby
ICTAI
2008
IEEE
16 years 17 days ago
Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm
We introduce a new adaptive genetic method for AVT generation, MCM-AVT-Learner. The MCM-AVTLearner imports the mutation and crossover matrices which makes effective use of the fi...
Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yan...
AAAI
2008
15 years 8 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang