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ACL
2009
13 years 6 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
CORR
2010
Springer
48views Education» more  CORR 2010»
13 years 6 months ago
On Maxwell fluid with relaxation time and viscosity depending on the pressure
We study a variant of the well known Maxwell model for viscoelastic fluids, namely we consider the Maxwell fluid with viscosity and relaxation time depending on the pressure. Such...
Satish Karra, Vít Prusa, K. R. Rajagopal
CDC
2010
IEEE
119views Control Systems» more  CDC 2010»
13 years 4 months ago
Event-triggered output feedback control of finite horizon discrete-time multi-dimensional linear processes
Event-triggered control systems are systems in which the control signal is recomputed when the plant's output signal leaves a triggering-set. There has been recent interest in...
Lichun Li, Michael Lemmon
MICCAI
2008
Springer
14 years 3 months ago
Soft Tissue Tracking for Minimally Invasive Surgery: Learning Local Deformation Online
Accurate estimation and tracking of dynamic tissue deformation is important to motion compensation, intra-operative surgical guidance and navigation in minimally invasive surgery. ...
Peter Mountney and Guang-Zhong Yang
CORR
2011
Springer
209views Education» more  CORR 2011»
13 years 25 days ago
Close the Gaps: A Learning-while-Doing Algorithm for a Class of Single-Product Revenue Management Problems
In this work, we consider a retailer selling a single product with limited on-hand inventory over a finite selling season. Customer demand arrives according to a Poisson process,...
Zizhuo Wang, Shiming Deng, Yinyu Ye