research
∙
03/22/2021
A Link between Coding Theory and Cross-Validation with Applications
We study the combinatorics of cross-validation based AUC estimation unde...
share
research
∙
12/21/2020
New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution
The goal of recommender systems is to help users find useful items from ...
research
∙
09/11/2020
Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting
Game recommendation is an important application of recommender systems. ...
research
∙
09/02/2020
Generalized vec trick for fast learning of pairwise kernel models
Pairwise learning corresponds to the supervised learning setting where t...
research
∙
05/28/2020
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation
In machine learning one often assumes the data are independent when eval...
research
∙
05/04/2020
A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction
This paper proposes a novel method for learning highly nonlinear, multiv...
research
∙
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...
research
∙
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...
research
∙
01/04/2017
Playtime Measurement with Survival Analysis
Maximizing product use is a central goal of many businesses, which makes...
research
∙
01/07/2016
Fast Kronecker product kernel methods via generalized vec trick
Kronecker product kernel provides the standard approach in the kernel me...
research
∙
06/19/2015
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels
We consider the problem of learning regression functions from pairwise d...
research
∙
05/17/2014
Identification of functionally related enzymes by learning-to-rank methods
Enzyme sequences and structures are routinely used in the biological sci...
research
∙
09/21/2012
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
In domains like bioinformatics, information retrieval and social network...
research
∙
11/28/2011
