Значок книги

QR Code (код быстрого отклика)

Recursive spatial multiplexing for interference mitigation /

Сохранить в:

Библиографические подробности
Главный автор:	Shah, Syed Ibrahim Asghar (Автор)
Формат:	Электронный ресурс eКнига
Язык:	английский
Опубликовано:	Kassel : Kassel University Press GmbH, [2019]
Предметы:	Machine learning. Electronic books.
Online-ссылка:	Click to View
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Схожие документы

Dataset shift in machine learning
Опубликовано: (2009)

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

Introduction to machine learning /
по: Alpaydin, Ethem
Опубликовано: (2014)

Machine learning for dummies /
по: Mueller, John Paul, и др.
Опубликовано: (2016)

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

Semi-supervised learning
Опубликовано: (2006)

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

Optimal learning
по: Powell, Warren B., 1955-
Опубликовано: (2012)

Foundations of machine learning
по: Mohri, Mehryar
Опубликовано: (2012)

Kernels for structured data
по: Gartner, Thomas
Опубликовано: (2008)

Machine learning for financial engineering
по: Györfi, László
Опубликовано: (2012)

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

Boosting foundations and algorithms /
по: Schapire, Robert E.
Опубликовано: (2012)

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

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

Optimization for machine learning
Опубликовано: (2012)

Machine learning with R /
по: Lantz, Brett
Опубликовано: (2013)

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

Building machine learning systems with Python
по: Richert, Willi
Опубликовано: (2013)

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

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

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

An elementary introduction to statistical learning theory
по: Kulkarni, Sanjeev
Опубликовано: (2011)

Least squares support vector machines
Опубликовано: (2002)

Machine learning in image steganalysis
по: Schaathun, Hans Georg
Опубликовано: (2012)

Apache Mahout cookbook /
по: Giacomelli, Piero
Опубликовано: (2013)

Kernel methods for pattern analysis
по: Shawe-Taylor, John
Опубликовано: (2004)

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

Recursive spatial multiplexing
по: Edlich, Thomas
Опубликовано: (2013)

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

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

Decentralised reinforcement learning in Markov games /
по: Vrancx, Peter
Опубликовано: (2010)

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

Machine learning in bioinformatics
по: Zhang, Yan-Qing
Опубликовано: (2009)

Machine learning approaches to bioinformatics
по: Yang, Zheng Rong
Опубликовано: (2010)

Physics of self-organization and evolution
по: Feistel, Rainer
Опубликовано: (2011)

Consciousness and robot sentience
по: Haikonen, Pentti O.
Опубликовано: (2012)

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

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

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