Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  comment on "Pruning Error Minimization in Least Squares Support Vector Machines" by B. J. de Kruif and T. J. A. de Vries. The original paper proposes a way of pruning training examples for least squares support vector machines (LS SVM) using no regularization (gamma = infin). This causes a problem as the derivation involves inverting a matrix that is often singular.  discuss a modification of this algorithm that prunes with regularization (gamma finite and nonzero) and is also computationally more efficient.
['Anthony Kuh', 'P. De Wilde']
I am writing a research paper on a idea Comments on "Pruning Error Minimization in Least Squares Support Vector Machines
[{"from": "human", "value": "I am writing a research paper on a idea Comments on \"Pruning Error Minimization in Least Squares Support Vector Machines"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  comment on \"Pruning Error Minimization in Least Squares Support Vector Machines\" by B. J. de Kruif and T. J. A. de Vries. The original paper proposes a way of pruning training examples for least squares support vector machines (LS SVM) using no regularization (gamma = infin). This causes a problem as the derivation involves inverting a matrix that is often singular.  discuss a modification of this algorithm that prunes with regularization (gamma finite and nonzero) and is also computationally more efficient."}]