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» Model Selection Through Sparse Maximum Likelihood Estimation
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WCE
2007
13 years 8 months ago
Procedures of Parameters' estimation of AR(1) models into lineal state-space models
—The objective of this paper is to study how algorithms of optimization affect the parametersestimation of Autoregressive AR(1)Models. In our research we have represented the AR...
Rouhia Noomene
JMLR
2011
148views more  JMLR 2011»
13 years 2 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
CN
2007
141views more  CN 2007»
13 years 7 months ago
Identifying lossy links in wired/wireless networks by exploiting sparse characteristics
In this paper, we consider the problem of estimating link loss rates based on end-to-end path loss rates in order to identify lossy links on the network. We first derive a maximu...
Hyuk Lim, Jennifer C. Hou
IDA
2009
Springer
14 years 2 months ago
Bayesian Non-negative Matrix Factorization
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen
TWC
2008
137views more  TWC 2008»
13 years 7 months ago
Ml joint CFO and channel estimation in OFDM systems with timing ambiguity
This letter addresses the problem of joint estimation of carrier frequency offset (CFO) and channel for OFDM systems in the presence of timing ambiguity. Based on two signal models...
Jianwu Chen, Yik-Chung Wu, Shaodan Ma, Tung-Sang N...