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20102017
most citedA two-step learning approach for solving full and almost full cold start problems in dyadic prediction

4 citations · 7 across the 4 of their papers we have counts for

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stat.ML2010★ 1 cited

Linear Time Feature Selection for Regularized Least-Squares

Tapio Pahikkala, Antti Airola, Tapio Salakoski

We propose a novel algorithm for greedy forward feature selection for regularized least-squares (RLS) regression and classification, also known as the least-squares support vector…