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Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.

P. Staar, P. Barkoutsos, R. Istrate, A. Malossi, I. Tavernelli, N. Moll, H. Giefers, C. Hagleitner, C. Bekas, and A. Curioni. IPDPS, page 812-821. IEEE Computer Society, (2016)

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Advance Reservation System for Datacenters.R. Istrate, A. Poenaru, and F. Pop. AINA, page 637-644. IEEE Computer Society, (2016)TAPAS: Train-less Accuracy Predictor for Architecture Search.R. Istrate, F. Scheidegger, G. Mariani, D. Nikolopoulos, C. Bekas, and A. Malossi. CoRR, (2018)Exploring Graph Analytics with the PCJ Toolbox.R. Istrate, P. Barkoutsos, M. Dolfi, P. Staar, and C. Bekas. PPAM (2), volume 10778 of Lecture Notes in Computer Science, page 308-317. Springer, (2017)TAPAS: Train-Less Accuracy Predictor for Architecture Search.R. Istrate, F. Scheidegger, G. Mariani, D. Nikolopoulos, C. Bekas, and A. Malossi. AAAI, page 3927-3934. AAAI Press, (2019)Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.P. Staar, P. Barkoutsos, R. Istrate, A. Malossi, I. Tavernelli, N. Moll, H. Giefers, C. Hagleitner, C. Bekas, and A. Curioni. IPDPS, page 812-821. IEEE Computer Society, (2016)NeuNetS: An Automated Synthesis Engine for Neural Network Design.A. Sood, B. Elder, B. Herta, C. Xue, C. Bekas, A. Malossi, D. Saha, F. Scheidegger, G. Venkataraman, G. Thomas and 10 other author(s). CoRR, (2019)BAGAN: Data Augmentation with Balancing GAN.G. Mariani, F. Scheidegger, R. Istrate, C. Bekas, and A. Malossi. CoRR, (2018)Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy.F. Scheidegger, R. Istrate, G. Mariani, L. Benini, C. Bekas, and A. Malossi. CoRR, (2018)Incremental Training of Deep Convolutional Neural Networks.R. Istrate, A. Malossi, C. Bekas, and D. Nikolopoulos. CoRR, (2018)Incremental Training of Deep Convolutional Neural Networks.R. Istrate, A. Malossi, C. Bekas, and D. Nikolopoulos. AutoML@PKDD/ECML, volume 1998 of CEUR Workshop Proceedings, page 41-48. CEUR-WS.org, (2017)

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Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.

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Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.