Advances in learning theory methods, models, and applications /

Introduction to machine learning /
-н: Alpaydin, Ethem
Хэвлэсэн: (2014)

Machine learning for dummies /
-н: Mueller, John Paul, зэрэг
Хэвлэсэн: (2016)

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

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

Machine learning in image steganalysis
-н: Schaathun, Hans Georg
Хэвлэсэн: (2012)

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

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

Machine learning with R /
-н: Lantz, Brett
Хэвлэсэн: (2013)

Machine learning in python : essential techniques for predictive analysis /
-н: Bowles, Michael
Хэвлэсэн: (2015)

Optimal learning
-н: Powell, Warren B., 1955-
Хэвлэсэн: (2012)

Building machine learning systems with Python
-н: Richert, Willi
Хэвлэсэн: (2013)

Recursive spatial multiplexing for interference mitigation /
-н: Shah, Syed Ibrahim Asghar
Хэвлэсэн: (2019)

Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /
-н: Weisheit, Toni
Хэвлэсэн: (2017)

Machine learning for financial engineering
-н: Györfi, László
Хэвлэсэн: (2012)

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

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

Learning with kernels support vector machines, regularization, optimization, and beyond /
-н: Schölkopf, Bernhard
Хэвлэсэн: (2002)

An elementary introduction to statistical learning theory
-н: Kulkarni, Sanjeev
Хэвлэсэн: (2011)

Boosting foundations and algorithms /
-н: Schapire, Robert E.
Хэвлэсэн: (2012)

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

Kernels for structured data
-н: Gartner, Thomas
Хэвлэсэн: (2008)

Apache Mahout cookbook /
-н: Giacomelli, Piero
Хэвлэсэн: (2013)

Least squares support vector machines
Хэвлэсэн: (2002)

Kernel methods for pattern analysis
-н: Shawe-Taylor, John
Хэвлэсэн: (2004)

Decentralised reinforcement learning in Markov games /
-н: Vrancx, Peter
Хэвлэсэн: (2010)

Gaussian processes for machine learning
-н: Rasmussen, Carl Edward
Хэвлэсэн: (2006)

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

Concept data analysis theory and applications /
-н: Carpineto, Claudio
Хэвлэсэн: (2004)

Machine learning in bioinformatics
-н: Zhang, Yan-Qing
Хэвлэсэн: (2009)

Machine learning approaches to bioinformatics
-н: Yang, Zheng Rong
Хэвлэсэн: (2010)

Approximation methods for efficient learning of Bayesian networks
-н: Riggelsen, Carsten
Хэвлэсэн: (2008)

Nearest-neighbor methods in learning and vision theory and practice /
Хэвлэсэн: (2005)

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

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

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

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