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Mostrati risultati da 41 a 57 di 57
Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
An efficient graph kernel method for non-coding RNA functional prediction 2017 NAVARIN, NICOLO' + BIOINFORMATICS - -
Measuring the expressivity of graph kernels through Statistical Learning Theory 2017 NAVARIN, NICOLO'DONINI, MICHELESPERDUTI, ALESSANDROAIOLLI, FABIO + NEUROCOMPUTING - -
Tree-Based Kernel for Graphs With Continuous Attributes 2017 Da San Martino, GiovanniNavarin, NicoloSperduti, Alessandro IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS - -
Fast Hyperparameter Selection for Graph Kernels via Subsampling and Multiple Kernel Learning 2017 Michele DoniniNicolo NavarinIvano LauriolaFabio Aiolli + - - ESANN 2017 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
Approximated Neighbours MinHash Graph Node Kernel 2017 Nicolò NavarinAlessandro Sperduti - - ESANN 2017 proceedings
Measuring the Expressivity of Graph Kernels through the Rademacher Complexity 2016 NAVARIN, NICOLO'DONINI, MICHELESPERDUTI, ALESSANDROAIOLLI, FABIO + - - 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Advances in learning with kernels: Theory and practice in a world of growing constraints 2016 NAVARIN, NICOLO'DONINI, MICHELEAIOLLI, FABIO + - - ESANN 2016 - 24th European Symposium on Artificial Neural Networks
Ordered Decompositional DAG kernels enhancements 2016 DA SAN MARTINO, GIOVANNINAVARIN, NICOLO'SPERDUTI, ALESSANDRO NEUROCOMPUTING - -
Hyper-parameter tuning for graph kernels via multiple kernel learning 2016 MASSIMO, CARLO MARIANAVARIN, NICOLO'SPERDUTI, ALESSANDRO LECTURE NOTES IN COMPUTER SCIENCE - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
An empirical study on budget-aware online kernel algorithms for streams of graphs 2016 DA SAN MARTINO, GIOVANNINAVARIN, NICOLO'SPERDUTI, ALESSANDRO NEUROCOMPUTING - -
Exploiting the ODD framework to define a novel effective graph kernel 2015 giovanni Da San MartinoNicolò NavarinAlessandro Sperduti - - 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings
Extending local features with contextual information in graph kernels 2015 NAVARIN, NICOLO'SPERDUTI, ALESSANDROTESSELLI, RICCARDO LECTURE NOTES IN COMPUTER SCIENCE - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Multiple graph-kernel learning 2015 AIOLLI, FABIODONINI, MICHELENAVARIN, NICOLO'SPERDUTI, ALESSANDRO - - Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015
Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions 2014 DA SAN MARTINO, GIOVANNINAVARIN, NICOLO'SPERDUTI, ALESSANDRO - - Neural Information Processing - 21st International Conference, ICONIP
A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget 2013 DA SAN MARTINO, GIOVANNINAVARIN, NICOLO'SPERDUTI, ALESSANDRO - - Proceedings of the 23rd International Joint Conference on Artificial Intelligence
A Tree-Based Kernel for Graphs 2012 DA SAN MARTINO, GIOVANNINAVARIN, NICOLO'SPERDUTI, ALESSANDRO - - Proceedings of the Twelfth SIAM International Conference on Data Mining
A Memory Efficient Graph Kernel 2012 Giovanni Da San MartinoNAVARIN, NICOLO'SPERDUTI, ALESSANDRO - - 2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
Mostrati risultati da 41 a 57 di 57
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