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Local Loss Optimization in Operator Models: A New Insight into Spectral
  Learning

Local Loss Optimization in Operator Models: A New Insight into Spectral Learning

27 June 2012
Borja Balle
A. Quattoni
X. Carreras
ArXivPDFHTML

Papers citing "Local Loss Optimization in Operator Models: A New Insight into Spectral Learning"

4 / 4 papers shown
Title
Closed-Form Solutions to A Category of Nuclear Norm Minimization
  Problems
Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems
Guangcan Liu
Ju Sun
Shuicheng Yan
51
3
0
22 Nov 2010
Closing the Learning-Planning Loop with Predictive State Representations
Closing the Learning-Planning Loop with Predictive State Representations
Byron Boots
S. Siddiqi
Geoffrey J. Gordon
204
265
0
12 Dec 2009
Reduced-Rank Hidden Markov Models
Reduced-Rank Hidden Markov Models
S. Siddiqi
Byron Boots
Geoffrey J. Gordon
BDL
177
135
0
06 Oct 2009
A Spectral Algorithm for Learning Hidden Markov Models
A Spectral Algorithm for Learning Hidden Markov Models
Daniel J. Hsu
Sham Kakade
Tong Zhang
141
309
0
26 Nov 2008
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