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WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
13 years 5 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
BMCBI
2010
172views more  BMCBI 2010»
14 years 5 months ago
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
Anil Aswani, Soile V. E. Keränen, James Brown...
WSCG
2003
142views more  WSCG 2003»
14 years 11 months ago
Dynamic Radiosity using Higher Order Functions Bases and Temporal Coherence
The computation of global illumination in a dynamic scene constitutes a real challenge in computer graphics. In radiosity algorithms, this problem is far from being easy, especial...
Venceslas Biri, Sylvain Michelin, Didier Arqu&egra...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 13 days 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
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 8 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan