A two-step learning approach for solving full and almost full cold start problems in dyadic prediction

17 May 2014

Papers citing "A two-step learning approach for solving full and almost full cold start problems in dyadic prediction"

5 / 5 papers shown

Title
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes Ryan P. Adams George E. Dahl Iain Murray 106 88 0 09 Aug 2014
Classifying pairs with trees for supervised biological network inference Marie Schrynemackers L. Wehenkel M. Babu Pierre Geurts 39 19 0 24 Apr 2014
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data T. Pahikkala A. Airola Michiel Stock B. De Baets Willem Waegeman 44 38 0 21 Sep 2012
A kernel-based framework for learning graded relations from data Willem Waegeman T. Pahikkala A. Airola T. Salakoski Michiel Stock B. De Baets 62 30 0 28 Nov 2011
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 207 925 0 30 Jun 2011