Bearbmagovva

QR-koda

Optimal learning

Furkejuvvon:

Bibliográfalaš dieđut
Váldodahkki:	Powell, Warren B., 1955-
Searvvušdahkki:	ebrary, Inc
Eará dahkkit:	Ryzhov, Ilya Olegovich, 1985-
Materiálatiipa:	Elektrovnnalaš E-girji
Giella:	eaŋgalasgiella
Almmustuhtton:	Hoboken, NJ : Wiley, 2012.
Ráidu:	Wiley series in probability and statistics.
Fáttát:	Machine learning. Artificial intelligence. Electronic books.
Liŋkkat:	An electronic book accessible through the World Wide Web; click to view
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

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

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

Optimization for machine learning
Almmustuhtton: (2012)

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

Dataset shift in machine learning
Almmustuhtton: (2009)

Introduction to machine learning /
Dahkki: Alpaydin, Ethem
Almmustuhtton: (2014)

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

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

Semi-supervised learning
Almmustuhtton: (2006)

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

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

Foundations of machine learning
Dahkki: Mohri, Mehryar
Almmustuhtton: (2012)

Machine learning for financial engineering
Dahkki: Györfi, László
Almmustuhtton: (2012)

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

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

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

Machine learning with R /
Dahkki: Lantz, Brett
Almmustuhtton: (2013)

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

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

Building machine learning systems with Python
Dahkki: Richert, Willi
Almmustuhtton: (2013)

Boosting foundations and algorithms /
Dahkki: Schapire, Robert E.
Almmustuhtton: (2012)

Kernels for structured data
Dahkki: Gartner, Thomas
Almmustuhtton: (2008)

An elementary introduction to statistical learning theory
Dahkki: Kulkarni, Sanjeev
Almmustuhtton: (2011)

Machine learning in image steganalysis
Dahkki: Schaathun, Hans Georg
Almmustuhtton: (2012)

Least squares support vector machines
Almmustuhtton: (2002)

Kernel methods for pattern analysis
Dahkki: Shawe-Taylor, John
Almmustuhtton: (2004)

Apache Mahout cookbook /
Dahkki: Giacomelli, Piero
Almmustuhtton: (2013)

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

Tenth Scandinavian Conference on Artificial Intelligence SCAI 2008 /
Almmustuhtton: (2008)

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

Encyclopedia of the Sciences of Learning
Dahkki: Seel, Norbert M.
Almmustuhtton: (2012)

Bodies/machines
Almmustuhtton: (2002)

Human machine interaction using hybrid biological signals : next step of powered wheelchair controller /
Dahkki: Kadam, Pankaj
Almmustuhtton: (2014)

Reinforcement Learning : An Introduction /
Dahkki: Sutton, Richard S.
Almmustuhtton: (1998)

Decentralised reinforcement learning in Markov games /
Dahkki: Vrancx, Peter
Almmustuhtton: (2010)

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

Statistical mechanics of learning
Dahkki: Engel, A. (Andreas), 1957-
Almmustuhtton: (2001)

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

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

Ontology learning and population bridging the gap between text and knowledge /
Almmustuhtton: (2008)