Pahikkala, Tapio

1. A two-step learning approach for solving full and almost full cold start problems in dyadic prediction
   2014/05/17 by Tapio Pahikkala, Michiel Stock, Pahikkala, Tapio +9 · 1 citation
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Tensor decomposition and applications
2. Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
   2012/09/21 by Pahikkala, Tapio, Airola, Antti, Stock, Michiel +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Identification of functionally related enzymes by learning-to-rank methods
   2014/05/17 by Stock, Michiel, Fober, Thomas, Hüllermeier, Eyke +6 · 1 citation
   #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM) #and Science (cs.CE)
4. A Solution for Large Scale Nonlinear Regression with High Rank and\n Degree at Constant Memory Complexity via Latent Tensor Reconstruction
   2020/05/04 by Sándor Szedmák, Szedmak, Sandor, Anna Cichońska +7 · 1 citation
   Computer Science · Mathematics · #Advanced Neural Network Applications #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Tensor decomposition and applications