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CORR
2010
Springer
175views Education» more  CORR 2010»
15 years 6 months ago
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
Ryan Prescott Adams, George E. Dahl, Iain Murray
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 6 months ago
Algorithmic Detection of Computer Generated Text
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
Allen Lavoie, Mukkai Krishnamoorthy
DEBU
2010
135views more  DEBU 2010»
15 years 6 months ago
Enhancing Search with Structure
Keyword search has traditionally focussed on retrieving documents in ranked order, given simple keyword queries. Similarly, work on keyword queries on structured data has focussed...
Soumen Chakrabarti, Sunita Sarawagi, S. Sudarshan
147
Voted
CSDA
2008
110views more  CSDA 2008»
15 years 6 months ago
Computing and using residuals in time series models
The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
José Alberto Mauricio
CSDA
2008
128views more  CSDA 2008»
15 years 6 months ago
On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...
Chris H. Q. Ding, Tao Li, Wei Peng
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