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» The Problems of Data Modeling in Software Practice
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ICAISC
2004
Springer
15 years 9 months ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...
CLUSTER
2009
IEEE
15 years 8 months ago
Analytical modeling and optimization for affinity based thread scheduling on multicore systems
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Fengguang Song, Shirley Moore, Jack Dongarra
ACL
2009
15 years 1 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...
KDD
2002
ACM
112views Data Mining» more  KDD 2002»
16 years 4 months ago
From run-time behavior to usage scenarios: an interaction-pattern mining approach
A key challenge facing IT organizations today is their evolution towards adopting e-business practices that gives rise to the need for reengineering their underlying software syst...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
TCAD
1998
115views more  TCAD 1998»
15 years 3 months ago
Probabilistic modeling of dependencies during switching activity analysis
—This paper addresses, from a probabilistic point of view, the issue of switching activity estimation in combinational circuits under the zero-delay model. As the main theoretica...
Radu Marculescu, Diana Marculescu, Massoud Pedram