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» Structured Sparsity in Structured Prediction
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137
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CCE
2004
15 years 4 months ago
Module-oriented automatic differentiation in chemical process systems optimization
It is common that external procedures are incorporated into an equation-oriented model when modeling complex chemical process systems. The so-obtained models are called composite ...
Xiang Li, Zhijiang Shao, Jixin Qian
142
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PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 3 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
149
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CORR
2011
Springer
191views Education» more  CORR 2011»
15 years 17 hour ago
A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels
We propose a factor-graph-based approach to joint channel-estimationand-decoding of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to ex...
Philip Schniter
121
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INTERSPEECH
2010
14 years 11 months ago
Context adaptive training with factorized decision trees for HMM-based speech synthesis
To achieve natural high quality synthesised speech in HMMbased speech synthesis, the effective modelling of complex acoustic and linguistic contexts is critical. Traditional appro...
Kai Yu, Heiga Zen, François Mairesse, Steve...
JMLR
2010
161views more  JMLR 2010»
14 years 11 months ago
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
Lin Xiao