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MIDDLEWARE
2009
Springer
16 years 21 days ago
Calling the Cloud: Enabling Mobile Phones as Interfaces to Cloud Applications
Mobile phones are set to become the universal interface to online services and cloud computing applications. However, using them for this purpose today is limited to two configura...
Ioana Giurgiu, Oriana Riva, Dejan Juric, Ivan Kriv...
CIKM
2011
Springer
14 years 6 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
ICPR
2002
IEEE
16 years 7 months ago
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
Yuan (Alan) Qi, Rosalind W. Picard
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 4 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
15 years 3 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu