Guillermo Cecchi | Akateeminen Kirjakauppa

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MACHINE LEARNING AND INTERPRETATION IN NEUROIMAGING - 4TH INTERNATIONAL WORKSHOP, MLINI 2014, HELD AT NIPS 2014, MONTREAL, QC, C

Irina Rish; Georg Langs; Leila Wehbe; Guillermo Cecchi; Kai-min Kevin Chang; Brian Murphy
Springer International Publishing AG (2016)
Pehmeäkantinen kirja

43,40 €

HIGH-THROUGHPUT IMAGE RECONSTRUCTION AND ANALYSIS

Rao, A. Ravishankar (Yorktown Heights, NY, USA); Guillermo A. Cecchi
Artech House Publishers (2008)
Kovakantinen kirja

223,00 €

THE RELEVANCE OF THE TIME DOMAIN TO NEURAL NETWORK MODELS

A. Ravishankar Rao (ed.); Guillermo A. Cecchi (ed.)
Springer (2011)
Kovakantinen kirja

134,60 €

THE RELEVANCE OF THE TIME DOMAIN TO NEURAL NETWORK MODELS

A. Ravishankar Rao (ed.); Guillermo A. Cecchi (ed.)
Springer (2013)
Pehmeäkantinen kirja

134,60 €

PRACTICAL APPLICATIONS OF SPARSE MODELING

Irina Rish; Guillermo A. Cecchi; Aurelie Lozano; Alexandru Niculescu-Mizil
MIT Press Ltd (2014)
Kovakantinen kirja

12,70 €

LEARNING SCIKIT-LEARN: MACHINE LEARNING IN PYTHON - INCORPORATING MACHINE LEARNING IN YOUR APPLICATIONS IS BECOMING ESSENTIAL. A

Raul G Tompson; Guillermo Moncecchi
Packt Publishing Limited (2013)
Pehmeäkantinen kirja

37,50 €

SCIKIT-LEARN : MACHINE LEARNING SIMPLIFIED

Raul Garreta; Guillermo Moncecchi; Trent Hauck; Gavin Hackeling
Packt Publishing Limited (2017)
Pehmeäkantinen kirja

122,10 €

Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, C

Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy

43,40 €

Springer International Publishing AG
Sivumäärä: 129 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2016
Julkaisuvuosi: 2016, 13.09.2016 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Artificial Intelligence

This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2014.

The 10 MLINI 2014 papers presented in this volume were carefully reviewed and selected from 17 submissions. They were organized in topical sections named: networks and decoding; speech; clinics and cognition; and causality and time-series. In addition, the book contains the 3 best papers presented at MLINI 2013.

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