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» A Probabilistic Approach to Predict Peers
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UAI
2003
15 years 6 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
MLDM
2007
Springer
15 years 10 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
TKDE
2008
178views more  TKDE 2008»
15 years 4 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
COMCOM
2006
94views more  COMCOM 2006»
15 years 4 months ago
Estimation of network distances using off-line measurements
Several emerging large-scale Internet applications such as Content Distribution Networks, and Peerto-Peer networks could potentially benefit from knowing the underlying Internet t...
Prasun Sinha, Danny Raz, Nidhan Choudhuri
EDBT
2009
ACM
184views Database» more  EDBT 2009»
15 years 11 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer