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11/11/2021
Training neural networks with synthetic electrocardiograms
We present a method for training neural networks with synthetic electroc...
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03/22/2021
A Link between Coding Theory and Cross-Validation with Applications
We study the combinatorics of cross-validation based AUC estimation unde...
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09/02/2020
Generalized vec trick for fast learning of pairwise kernel models
Pairwise learning corresponds to the supervised learning setting where t...
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03/05/2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Many machine learning problems can be formulated as predicting labels fo...
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01/29/2018
Tournament Leave-pair-out Cross-validation for Receiver Operating Characteristic (ROC) Analysis
Receiver operating characteristic (ROC) analysis is widely used for eval...
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01/04/2017
Playtime Measurement with Survival Analysis
Maximizing product use is a central goal of many businesses, which makes...
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01/07/2016
Fast Kronecker product kernel methods via generalized vec trick
Kronecker product kernel provides the standard approach in the kernel me...
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06/19/2015
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels
We consider the problem of learning regression functions from pairwise d...
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05/17/2014
Identification of functionally related enzymes by learning-to-rank methods
Enzyme sequences and structures are routinely used in the biological sci...
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09/21/2012
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
In domains like bioinformatics, information retrieval and social network...
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11/28/2011