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1405.4423
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A two-step learning approach for solving full and almost full cold start problems in dyadic prediction
17 May 2014
T. Pahikkala
Michiel Stock
A. Airola
T. Aittokallio
B. De Baets
Willem Waegeman
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Papers citing
"A two-step learning approach for solving full and almost full cold start problems in dyadic prediction"
8 / 8 papers shown
Oxytrees: Model Trees for Bipartite Learning
Pedro Ilídio
F. Nakano
Alireza Gharahighehi
Robbe D'hondt
Ricardo Cerri
Celine Vens
106
0
0
16 Nov 2025
Generalized vec trick for fast learning of pairwise kernel models
Machine-mediated learning (ML), 2020
Markus Viljanen
A. Airola
T. Pahikkala
271
10
0
02 Sep 2020
Multi-Target Prediction: A Unifying View on Problems and Methods
Willem Waegeman
Krzysztof Dembczyñski
Eyke Huellermeier
218
91
0
07 Sep 2018
Matrix completion and extrapolation via kernel regression
Pere Giménez-Febrer
A. Pagés-Zamora
G. Giannakis
324
15
0
01 Aug 2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Michiel Stock
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
231
26
0
05 Mar 2018
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models
Michiel Stock
Krzysztof Dembczyñski
B. De Baets
Willem Waegeman
199
1
0
14 Jun 2016
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method
Michiel Stock
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
181
8
0
14 Jun 2016
Fast Kronecker product kernel methods via generalized vec trick
A. Airola
T. Pahikkala
286
25
0
07 Jan 2016
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