Значок книги

QR Code (код быстрого отклика)

Next-generation sequencing and sequence data analysis /

Сохранить в:

Библиографические подробности
Главный автор:	Chiu, Kuo Ping (Автор)
Формат:	Электронный ресурс eКнига
Язык:	английский
Опубликовано:	Sharjah : Bentham Science Publishers, Limited, [2015]
Предметы:	Machine learning. Computational intelligence. Data mining. Electronic books.
Online-ссылка:	An electronic book accessible through the World Wide Web; click to view
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Схожие документы

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

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

Process, data and classifier models for accessible supervised classification problem solving /
по: De Bruyne, Steven
Опубликовано: (2010)

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

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

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

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

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

Dataset shift in machine learning
Опубликовано: (2009)

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

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)

Recursive spatial multiplexing for interference mitigation /
по: Shah, Syed Ibrahim Asghar
Опубликовано: (2019)

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

Semi-supervised learning
Опубликовано: (2006)

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

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

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

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

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

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

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

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

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

Optimization for machine learning
Опубликовано: (2012)

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

Least squares support vector machines
Опубликовано: (2002)

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

Machine interpretation of patterns image analysis and data mining /
Опубликовано: (2010)

Computational methods for next generation sequencing data analysis /
Опубликовано: (2016)

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

Big data analytics turning big data into big money /
по: Ohlhorst, Frank, 1964-
Опубликовано: (2013)

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

Practical data analysis and reporting with BIRT use the open-source Eclipse-based business intelligence and reporting tools system to design and create reports as quickly as possible /
по: Ward, John
Опубликовано: (2008)

Concept data analysis theory and applications /
по: Carpineto, Claudio
Опубликовано: (2004)

Tag-based next generation sequencing
Опубликовано: (2012)

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

Knowledge mining using intelligent agents
Опубликовано: (2011)

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