
A Link between Coding Theory and CrossValidation with Applications
We study the combinatorics of crossvalidation based AUC estimation unde...
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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 ...
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Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting
Game recommendation is an important application of recommender systems. ...
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Generalized vec trick for fast learning of pairwise kernel models
Pairwise learning corresponds to the supervised learning setting where t...
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Estimating the Prediction Performance of Spatial Models via Spatial kFold Cross Validation
In machine learning one often assumes the data are independent when eval...
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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...
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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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Tournament Leavepairout Crossvalidation for Receiver Operating Characteristic (ROC) Analysis
Receiver operating characteristic (ROC) analysis is widely used for eval...
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Playtime Measurement with Survival Analysis
Maximizing product use is a central goal of many businesses, which makes...
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Fast Kronecker product kernel methods via generalized vec trick
Kronecker product kernel provides the standard approach in the kernel me...
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Spectral Analysis of Symmetric and AntiSymmetric Pairwise Kernels
We consider the problem of learning regression functions from pairwise d...
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Identification of functionally related enzymes by learningtorank methods
Enzyme sequences and structures are routinely used in the biological sci...
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Efficient Regularized LeastSquares Algorithms for Conditional Ranking on Relational Data
In domains like bioinformatics, information retrieval and social network...
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A kernelbased framework for learning graded relations from data
Driven by a large number of potential applications in areas like bioinfo...
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Tapio Pahikkala
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