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http://papers.nips.cc/paper/3135-branch-and-bound-for-semi-supervised-support-vector-machines.pdf
solution found by branch and bound has excellent generalization performance, while other S 3VM implementations perform poorly. These results also show that S VM can compete and even outperform graph-based techniques (e.g.,[17, 13]) on problems where the latter class of methods have typically excelled. 2 Semi-Supervised Support Vector Machines
https://www.researchgate.net/publication/221619727_Branch_and_Bound_for_Semi-Supervised_Support_Vector_Machines
Branch and Bound for Semi-Supervised Support Vector Machines. Conference Paper in Advances in neural information processing systems · January 2006 with 69 Reads How we measure 'reads'
https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_1790243
Semi-supervised SVMs (S3VMs) attempt to learn low-density separators by maximizing the margin over labeled and unlabeled examples. The associated optimization problem is non-convex. To examine the full potential of S3VMs modulo local minima problems in current implementations, we apply branch and bound techniques for obtaining exact, globally ...Cited by: 161
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.9654
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Semi-supervised SVMs (S³VM) attempt to learn low-density separators by maximizing the margin over labeled and unlabeled examples. The associated optimization problem is non-convex. To examine the full potential of S3VMs modulo local minima problems in current implementations, we apply branch and bound techniques …
http://jmlr.csail.mit.edu/papers/volume9/chapelle08a/chapelle08a.pdf
OPTIMIZATION TECHNIQUES FOR SEMI-SUPERVISED SUPPORT VECTOR MACHINES 3.1 Branch-and-Bound (BB) for Global Optimization The objective function (4) can be globally optimized using Branch-and-Bound techniques. This was
https://www.researchgate.net/publication/296688171_A_new_branch-and-bound_approach_to_semi-supervised_support_vector_machine
Request PDF A new branch-and-bound approach to semi-supervised support vector machine This paper develops a branch-and-bound algorithm to solve the 2-norm soft margin semi-supervised support ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005207668
Branch and bound for semi-supervised support vector machines as an exact, globally optimal solution is useful for benchmarking different practical S3VM implementation. But, global optimization can be computationally very demanding.
https://link.springer.com/article/10.1007/s00500-016-2089-y
Mar 02, 2016 · Abstract This paper develops a branch-and-bound algorithm to solve the 2-norm soft margin semi-supervised support vector machine. First, the original problem is reformulated as a non-convex quadratically constrained quadratic programming problem with a simple structure.Cited by: 6
https://www.sciencedirect.com/science/article/pii/S0893608016300375
The semi-supervised support vector machine (S 3 VM) is a well-known algorithm for performing semi-supervised inference under the large margin principle. In this paper, we are interested in the problem of training a S 3 VM when the labeled and unlabeled samples are distributed over a network of interconnected agents. In particular, the aim is to design a distributed training protocol over ...Cited by: 26
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