Tapio Pahikkala

Training linear ranking SVMs in linearithmic time using red-black trees (2011)

Pattern Recognition Letters

Antti Airola, Tapio Pahikkala, Tapio Salakoski

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Speedy Local Search for Semi-Supervised Regularized Least-Squares (2011)

34th Annual German Conference on AI, Lecture Notes in Computer Science

Gieseke F, Kramer O, Airola A, Pahikkala T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

An Improved Training Algorithm for the Linear Ranking Support Vector Machine (2011)

Lecture Notes in Computer Science

Airola A, Pahikkala T, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Learning Multi-Label Predictors under Sparsity Budget (2011)

Frontiers in Artificial Intelligence and Applications

Naula P, Pahikkala T, Airola A, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

EXTRACTING CONTEXTUALIZED COMPLEX BIOLOGICAL EVENTS WITH RICH GRAPH-BASED FEATURE SETS (2011)

Computational Intelligence

Bjorne J, Heimonen J, Ginter F, Airola A, Pahikkala T, Salakoski T

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Fast and Parallelized Greedy Forward Selection of Genetic Variants in Genome-Wide Association Studies (2011)

Okser S, Pahikkala T, Airola A, Aittokallio T, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

On Learning and Cross-Validation with Decomposed Nystrom Approximation of Kernel Matrix (2011)

Neural Processing Letters

Antti Airola, Tapio Pahikkala, Tapio Salakoski

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Drug-Drug Interaction Extraction with RLS and SVM Classifiers (2011)

CEUR Workshop Proceedings

Jari Björne, Antti Airola, Tapio Pahikkala, Tapio Salakoski

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve (2011)

Computational Statistics and Data Analysis

Airola A, Pahikkala T, Waegeman W, De Baets B, Salakoski T

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Speeding up Greedy Forward Selection for Regularized Least-Squares (2010)

Pahikkala T, Airola A, Salakoski T

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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Training linear ranking SVMs in linearithmic time using red-black trees (2011)

Speedy Local Search for Semi-Supervised Regularized Least-Squares (2011)

An Improved Training Algorithm for the Linear Ranking Support Vector Machine (2011)

Learning Multi-Label Predictors under Sparsity Budget (2011)

EXTRACTING CONTEXTUALIZED COMPLEX BIOLOGICAL EVENTS WITH RICH GRAPH-BASED FEATURE SETS (2011)

Fast and Parallelized Greedy Forward Selection of Genetic Variants in Genome-Wide Association Studies (2011)

On Learning and Cross-Validation with Decomposed Nystrom Approximation of Kernel Matrix (2011)

Drug-Drug Interaction Extraction with RLS and SVM Classifiers (2011)

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve (2011)

Speeding up Greedy Forward Selection for Regularized Least-Squares (2010)