Pages that link to "Item:Q2292940"

The following pages link to Convergence analyses on sparse feedforward neural networks via group lasso regularization (Q2292940):

Displaying 9 items.

• Batch gradient method with smoothing \(L_{1/2}\) regularization for training of feedforward neural networks (Q470178) (← links)
• Group sparse optimization for learning predictive state representations (Q778374) (← links)
• Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network (Q2123539) (← links)
• An empirical study into finding optima in stochastic optimization of neural networks (Q2127118) (← links)
• Equivalent method of evaluating mechanical properties of perforated Ni-based single crystal plates using artificial neural networks (Q2175288) (← links)
• Predictive analytics for customer repurchase: interdisciplinary integration of buy till you die modeling and machine learning (Q2242311) (← links)
• Modeling a stochastic age-structured capital system with Poisson jumps using neural networks (Q2660900) (← links)
• Global convergence analysis of sparse regular nonconvex optimization problems (Q3307901) (← links)
• Boundedness and convergence analysis of a pi-sigma neural network based on online gradient method and sparse optimization (Q6630932) (← links)