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» Approximate Expectation Maximization
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161
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JMLR
2012
13 years 5 months ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 3 months ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
137
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ICMCS
2006
IEEE
192views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Classifier Optimization for Multimedia Semantic Concept Detection
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Sheng Gao, Qibin Sun
92
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DMIN
2007
76views Data Mining» more  DMIN 2007»
15 years 4 months ago
Towards Average Case Analysis of Itemset Mining
—We perform a statistical analysis and describe the asymptotic behavior of the frequency and size distribution of δoccurrent, minimal δ-occurrent, and maximal δ-occurrent item...
Dan Singer, David J. Haglin, Anna M. Manning
ICCV
2011
IEEE
14 years 3 months ago
Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion
The saliency of regions or objects in an image can be significantly boosted if they recur in multiple images. Leveraging this idea, cosegmentation jointly segments common regions...
Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade