Pahikkala, Tapio

10 publications

MLJ 2022 Generalized Vec Trick for Fast Learning of Pairwise Kernel Models Markus Viljanen, Antti Airola, Tapio Pahikkala

JMLR 2016 RLScore: Regularized Least-Squares Learners Tapio Pahikkala, Antti Airola

ECML-PKDD 2014 A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman

MLJ 2013 Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman

ACML 2013 Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification Fabian Gieseke, Tapio Pahikkala, Christian Igel

MLJ 2012 Efficient Cross-Validation for Kernelized Least-Squares Regression with Sparse Basis Expansions Tapio Pahikkala, Hanna Suominen, Jorma Boberg

ECML-PKDD 2010 Conditional Ranking on Relational Data Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets

MLJ 2009 An Efficient Algorithm for Learning to Rank from Preference Graphs Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg

ICML 2009 Fast Evolutionary Maximum Margin Clustering Fabian Gieseke, Tapio Pahikkala, Oliver Kramer

MLJ 2009 Matrix Representations, Linear Transformations, and Kernels for Disambiguation in Natural Language Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski