A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection
Abstract: Feature selection, as a fundamental component of building robust models, plays an important role in many machine learning and data mining tasks. Since acquiring labeled data is particularly ...
Abstract: We revisit orthogonal lattice (OL) attacks and rounding techniques (RT) for solving the Approximate Common Divisor (ACD) problem. First, we systematically organize all existing OL algorithms ...
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