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JMLR
2010
106views more  JMLR 2010»
14 years 11 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
JMLR
2010
169views more  JMLR 2010»
14 years 11 months ago
Consensus-Based Distributed Support Vector Machines
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
TIT
2010
174views Education» more  TIT 2010»
14 years 11 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
ATAL
2011
Springer
14 years 4 months ago
Specifying and applying commitment-based business patterns
Recent work in communications and business modeling emphasizes a commitment-based view of interaction. By abstracting away from implementation-level details, commitments can poten...
Amit K. Chopra, Munindar P. Singh
CIKM
2011
Springer
14 years 4 months ago
Structural link analysis and prediction in microblogs
With hundreds of millions of participants, social media services have become commonplace. Unlike a traditional social network service, a microblogging network like Twitter is a hy...
Dawei Yin, Liangjie Hong, Brian D. Davison