Imaxe de Portada

Código QR

Recursive spatial multiplexing for interference mitigation /

Gardado en:

Detalles Bibliográficos
Autor Principal:	Shah, Syed Ibrahim Asghar (Author)
Formato:	Electrónico eBook
Idioma:	inglés
Publicado:	Kassel : Kassel University Press GmbH, [2019]
Subjects:	Machine learning. Electronic books.
Acceso en liña:	Click to View
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares

Dataset shift in machine learning
Publicado: (2009)

Introduction to machine learning /
por: Alpaydin, Ethem
Publicado: (2014)

Machine learning : hands-on for developers and technical professionals /
por: Bell, Jason
Publicado: (2015)

Machine learning for dummies /
por: Mueller, John Paul, et al.
Publicado: (2016)

Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /
por: Weisheit, Toni
Publicado: (2017)

Semi-supervised learning
Publicado: (2006)

Machine learning a probabilistic perspective /
por: Murphy, Kevin P., 1970-
Publicado: (2012)

Boosting foundations and algorithms /
por: Schapire, Robert E.
Publicado: (2012)

Machine learning for financial engineering
por: Györfi, László
Publicado: (2012)

Optimal learning
por: Powell, Warren B., 1955-
Publicado: (2012)

Foundations of machine learning
por: Mohri, Mehryar
Publicado: (2012)

Machine learning in non-stationary environments introduction to covariate shift adaptation /
por: Sugiyama, Masashi, 1974-
Publicado: (2012)

Kernels for structured data
por: Gartner, Thomas
Publicado: (2008)

Learning with kernels support vector machines, regularization, optimization, and beyond /
por: Schölkopf, Bernhard
Publicado: (2002)

Multi-agent machine learning : a reinforcement approach /
por: Schwartz, Howard M.
Publicado: (2014)

Learning scikit-learn : machine learning in Python /
por: Garreta, Raul
Publicado: (2013)

Optimization for machine learning
Publicado: (2012)

Machine learning with R /
por: Lantz, Brett
Publicado: (2013)

Building machine learning systems with Python
por: Richert, Willi
Publicado: (2013)

Machine learning in python : essential techniques for predictive analysis /
por: Bowles, Michael
Publicado: (2015)

Next-generation sequencing and sequence data analysis /
por: Chiu, Kuo Ping
Publicado: (2015)

Advances in learning theory methods, models, and applications /
Publicado: (2003)

Least squares support vector machines
Publicado: (2002)

An elementary introduction to statistical learning theory
por: Kulkarni, Sanjeev
Publicado: (2011)

Machine learning in image steganalysis
por: Schaathun, Hans Georg
Publicado: (2012)

Kernel methods for pattern analysis
por: Shawe-Taylor, John
Publicado: (2004)

Apache Mahout cookbook /
por: Giacomelli, Piero
Publicado: (2013)

Recursive spatial multiplexing
por: Edlich, Thomas
Publicado: (2013)

Support vector machines data analysis, machine learning and applications /
Publicado: (2011)

Klassifikation von Niederspannungsnetzen mit Support Vector Machines : Bewertung des Aufnahmevermogens fur Dezentrale Erzeugungsanlagen /
por: Breker, Sebastian
Publicado: (2015)

Report of a workshop on the scope and nature of computational thinking
Publicado: (2010)

Decentralised reinforcement learning in Markov games /
por: Vrancx, Peter
Publicado: (2010)

The Novel in the Spanish Silver Age : a digital analysis of genre using machine learning /
por: Calvo Tello, Jose, 1987-
Publicado: (2021)

Machine learning in bioinformatics
por: Zhang, Yan-Qing
Publicado: (2009)

Machine learning approaches to bioinformatics
por: Yang, Zheng Rong
Publicado: (2010)

Selbstlernende Algorithmen zur videobasierten Absichtserkennung von Fussgangern /
por: Goldhammer, Michael
Publicado: (2017)

Artificial life and evolutionary computation proceedings of Wivace 2008, Venice, Italy, 8-10 September 2008 /
Publicado: (2010)

Consciousness and robot sentience
por: Haikonen, Pentti O.
Publicado: (2012)

Physics of self-organization and evolution
por: Feistel, Rainer
Publicado: (2011)

GMDH-methodology and implementation in C /
Publicado: (2015)