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KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 1 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
13 years 1 months ago
The untold story of the clones: content-agnostic factors that impact YouTube video popularity
Video dissemination through sites such as YouTube can have widespread impacts on opinions, thoughts, and cultures. Not all videos will reach the same popularity and have the same ...
Youmna Borghol, Sebastien Ardon, Niklas Carlsson, ...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 1 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 1 months ago
Factoring past exposure in display advertising targeting
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay K...
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
15 years 11 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden
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