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Found 3 papers, 1 papers with code
Enumeration of Distinct Support Vectors for Interactive Decision Making
In this paper, we propose a K-best model enumeration algorithm for Support Vector Machines (SVM) that given a dataset S and an integer K>0, enumerates the K-best models on S with distinct support vectors in the descending order of the objective function values in the dual SVM problem.
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms
Polynomial networks and factorization machines are two recently-proposed models that can efficiently use feature interactions in classification and regression tasks.
Higher-Order Factorization Machines
Factorization machines (FMs) are a supervised learning approach that can use second-order feature combinations even when the data is very high-dimensional.
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