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TMC
2008
110views more  TMC 2008»
15 years 6 months ago
Understanding the Impact of Interference on Collaborative Relays
Collaborative relays achieve the benefits of spatial diversity without requiring physical antenna arrays at end devices. While many studies have demonstrated its effectiveness in a...
Yan Zhu, Haitao Zheng
PR
2011
15 years 1 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
PUC
2011
15 years 1 months ago
Toward a cooperative programming framework for context-aware applications
OPEN is an ontology-based programming framework for rapid prototyping, sharing, and personalization of context-aware applications. Unlike previous systems that provide programming ...
Bin Guo, Daqing Zhang, Michita Imai
JMLR
2010
139views more  JMLR 2010»
15 years 1 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
SDM
2009
SIAM
104views Data Mining» more  SDM 2009»
16 years 3 months ago
On Randomness Measures for Social Networks.
Social networks tend to contain some amount of randomness and some amount of non-randomness. The amount of randomness versus non-randomness affects the properties of a social netw...
Xiaowei Ying, Xintao Wu