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Abstract: To address the hardware and/or software implementation issues of principal component regression (PCR), we propose a novel algorithm called compressed PCR (C-PCR). C-PCR projects the input ...

Abstract: This paper proposes a least square regularized regression algorithm in sum space of reproducing kernel Hilbert spaces (RKHSs) for nonflat function approximation, and obtains the solution of ...

Multilable fast inference classifiers (Ridge Regression and MLP) for NLPs with Sentence Embedder, K-Fold, Bootstrap and Boosting. NOTE: since the MLP (fully connected NN) Classifier was too heavy to ...