封面图片

QR Code

Recursive spatial multiplexing for interference mitigation /

Saved in:

书目详细资料
主要作者:	Shah, Syed Ibrahim Asghar (Author)
格式:	电子电子书
语言:	英语
出版:	Kassel : Kassel University Press GmbH, [2019]
主题:	Machine learning. Electronic books.
在线阅读:	Click to View
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Dataset shift in machine learning
出版: (2009)

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

Introduction to machine learning /
由: Alpaydin, Ethem
出版: (2014)

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

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

Semi-supervised learning
出版: (2006)

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

Boosting foundations and algorithms /
由: Schapire, Robert E.
出版: (2012)

Machine learning for financial engineering
由: Györfi, László
出版: (2012)

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

Optimal learning
由: Powell, Warren B., 1955-
出版: (2012)

Foundations of machine learning
由: Mohri, Mehryar
出版: (2012)

Kernels for structured data
由: Gartner, Thomas
出版: (2008)

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

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

Building machine learning systems with Python
由: Richert, Willi
出版: (2013)

Optimization for machine learning
出版: (2012)

Machine learning with R /
由: Lantz, Brett
出版: (2013)

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

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

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

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

Least squares support vector machines
出版: (2002)

An elementary introduction to statistical learning theory
由: Kulkarni, Sanjeev
出版: (2011)

Machine learning in image steganalysis
由: Schaathun, Hans Georg
出版: (2012)

Kernel methods for pattern analysis
由: Shawe-Taylor, John
出版: (2004)

Apache Mahout cookbook /
由: Giacomelli, Piero
出版: (2013)

Recursive spatial multiplexing
由: Edlich, Thomas
出版: (2013)

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

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

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

Decentralised reinforcement learning in Markov games /
由: Vrancx, Peter
出版: (2010)

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

Machine learning in bioinformatics
由: Zhang, Yan-Qing
出版: (2009)

Machine learning approaches to bioinformatics
由: Yang, Zheng Rong
出版: (2010)

Selbstlernende Algorithmen zur videobasierten Absichtserkennung von Fussgangern /
由: Goldhammer, Michael
出版: (2017)

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

Consciousness and robot sentience
由: Haikonen, Pentti O.
出版: (2012)

Physics of self-organization and evolution
由: Feistel, Rainer
出版: (2011)

Cognitive dynamic systems perception--action cycle, radar, and radio /
由: Haykin, Simon S., 1931-
出版: (2012)