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CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 10 months ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha
CORR
2007
Springer
115views Education» more  CORR 2007»
13 years 10 months ago
To Decode the Interference or To Consider it as Noise
— We address data transmission over the M-user Gaussian interference channel, where users send data using single Gaussian codebooks. We first present a polynomial-time algorithm...
Abolfazl S. Motahari, Amir K. Khandani
JSAC
2008
70views more  JSAC 2008»
13 years 10 months ago
LMMSE turbo equalization based on factor graphs
Abstract--In this paper, a vector-form factor graph representation is derived for intersymbol interference (ISI) channels. The resultant graphs have a tree-structure that avoids th...
Qinghua Guo, Li Ping
PAMI
2008
140views more  PAMI 2008»
13 years 10 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
DMTCS
2002
108views Mathematics» more  DMTCS 2002»
13 years 10 months ago
The height of q-Binary Search Trees
Abstract. q
Michael Drmota, Helmut Prodinger