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» Combining concept hierarchies and statistical topic models
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WSC
2001
15 years 1 months ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor
JURIX
2008
15 years 1 months ago
Concept and Context in Legal Information Retrieval
Abstract. There exist two broad approaches to information retrieval (IR) in the legal domain: those based on manual knowledge engineering (KE) and those based on natural language p...
K. Tamsin Maxwell, Burkhard Schafer
AAAI
2007
15 years 2 months ago
Aggregating User-Centered Rankings to Improve Web Search
This paper is to investigate rank aggregation based on multiple user-centered measures in the context of the web search. We introduce a set of techniques to combine ranking lists ...
Lin Li, Zhenglu Yang, Masaru Kitsuregawa
ICML
2010
IEEE
15 years 23 days ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
ICASSP
2007
IEEE
15 years 6 months ago
Context-Based Concept Fusion with Boosted Conditional Random Fields
The contextual relationships among different semantic concepts provide important information for automatic concept detection in images/videos. We propose a new context-based conce...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui