Learning Logistic Regressors by Gradient Descent
Conditional likelihood for Logistic Regression is concave. Find optimum with gradient ascent ! Gradient ascent is simplest of optimization approaches " e.g., Conjugate gradient ascent can be much better Gradient: Step size ... Learning Problems as Expectations !
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