Project centers in Chennai

IEEE Final Year Project Topics for CSE

Base Paper Title

Projected Stochastic Primal-Dual Method forConstrained Online Learning with Kernels

Our Title

IEEE Project Abstract

We consider the problem of stochastic optimizationwith nonlinear constraints, where the decision variable is notvector-valued but instead a function belonging to a reproducingKernel Hilbert Space (RKHS). Currently, there exist solutions toonly special cases of this problem. To solve this constrained problem with kernels, we first generalize the Representer Theoremto a class of saddle-point problems defined over RKHS. Then,we develop a primal-dual method which executes alternatingprojected primal/dual stochastic gradient descent/ascent on thedual-augmented Lagrangian of the problem. The primal projection sets are low-dimensional subspaces of the ambient functionspace, which are greedily constructed using matching pursuit. Bytuning the projection-induced error to the algorithm step-size, weare able to establish mean convergence in both primal objectivesub-optimality and constraint violation, to respective O(√T) andO(T3/4) neighborhoods. Here T is the final iteration index andthe constant step-size is chosen as 1/√T with 1/T approximationbudget. Finally, we demonstrate experimentally the effectivenessof the proposed method for risk-aware supervised learning

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper

Architecture

Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey

Conclusion

Future Work

To View the Abstract Contents

Exclusive
Offer
Refer Your Friend
10%
CASHBACK
Refer Another Friend
Thanks for Referring Your Friend / Relation

Now it is Your Time to Shine.

Great careers Start Here.

We Guide you to Every Step

Success! You're Awesome

Thank you for filling out your information!

We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.

To know more details Call 900 31 31 555

The WISEN Team