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» Combining concept hierarchies and statistical topic models
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WSC
2001
15 years 2 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 2 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 3 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 2 months 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 7 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