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» Document Retrieval using a Probabilistic Knowledge Model
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NIPS
2008
14 years 11 months ago
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Indraneel Mukherjee, David M. Blei
JCDL
2006
ACM
161views Education» more  JCDL 2006»
15 years 3 months ago
Learning metadata from the evidence in an on-line citation matching scheme
Citation matching, or the automatic grouping of bibliographic references that refer to the same document, is a data management problem faced by automatic digital libraries for sci...
Isaac G. Councill, Huajing Li, Ziming Zhuang, Sand...
SIGIR
2009
ACM
15 years 4 months ago
Estimating query performance using class predictions
We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity ...
Kevyn Collins-Thompson, Paul N. Bennett
DMIN
2006
109views Data Mining» more  DMIN 2006»
14 years 11 months ago
Revised Aggregation-tree Used in Metadata Extraction from SVG Images
Many of the multimedia researchers have focused on the issue of the retrieval of images using indexed image collections. A number of spatial data structures based on Minimum Bound...
Shuju Bai, Abdus Salam, Ebrahim Khosravi
UAI
2008
14 years 11 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...