Optimal learning
Enregistré dans:
Auteur principal: | Powell, Warren B., 1955- |
---|---|
Collectivité auteur: | ebrary, Inc |
Autres auteurs: | Ryzhov, Ilya Olegovich, 1985- |
Format: | Électronique eBook |
Langue: | anglais |
Publié: |
Hoboken, NJ :
Wiley,
2012.
|
Collection: | Wiley series in probability and statistics.
|
Sujets: | |
Accès en ligne: | An electronic book accessible through the World Wide Web; click to view |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Machine learning in non-stationary environments introduction to covariate shift adaptation /
par: Sugiyama, Masashi, 1974-
Publié: (2012)
par: Sugiyama, Masashi, 1974-
Publié: (2012)
Multi-agent machine learning : a reinforcement approach /
par: Schwartz, Howard M.
Publié: (2014)
par: Schwartz, Howard M.
Publié: (2014)
Optimization for machine learning
Publié: (2012)
Publié: (2012)
Next-generation sequencing and sequence data analysis /
par: Chiu, Kuo Ping
Publié: (2015)
par: Chiu, Kuo Ping
Publié: (2015)
Dataset shift in machine learning
Publié: (2009)
Publié: (2009)
Introduction to machine learning /
par: Alpaydin, Ethem
Publié: (2014)
par: Alpaydin, Ethem
Publié: (2014)
Machine learning for dummies /
par: Mueller, John Paul, et autres
Publié: (2016)
par: Mueller, John Paul, et autres
Publié: (2016)
Machine learning : hands-on for developers and technical professionals /
par: Bell, Jason
Publié: (2015)
par: Bell, Jason
Publié: (2015)
Semi-supervised learning
Publié: (2006)
Publié: (2006)
Machine learning a probabilistic perspective /
par: Murphy, Kevin P., 1970-
Publié: (2012)
par: Murphy, Kevin P., 1970-
Publié: (2012)
Learning with kernels support vector machines, regularization, optimization, and beyond /
par: Schölkopf, Bernhard
Publié: (2002)
par: Schölkopf, Bernhard
Publié: (2002)
Foundations of machine learning
par: Mohri, Mehryar
Publié: (2012)
par: Mohri, Mehryar
Publié: (2012)
Machine learning for financial engineering
par: Györfi, László
Publié: (2012)
par: Györfi, László
Publié: (2012)
Learning scikit-learn : machine learning in Python /
par: Garreta, Raul
Publié: (2013)
par: Garreta, Raul
Publié: (2013)
Recursive spatial multiplexing for interference mitigation /
par: Shah, Syed Ibrahim Asghar
Publié: (2019)
par: Shah, Syed Ibrahim Asghar
Publié: (2019)
Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /
par: Weisheit, Toni
Publié: (2017)
par: Weisheit, Toni
Publié: (2017)
Machine learning with R /
par: Lantz, Brett
Publié: (2013)
par: Lantz, Brett
Publié: (2013)
Machine learning in python : essential techniques for predictive analysis /
par: Bowles, Michael
Publié: (2015)
par: Bowles, Michael
Publié: (2015)
Advances in learning theory methods, models, and applications /
Publié: (2003)
Publié: (2003)
Building machine learning systems with Python
par: Richert, Willi
Publié: (2013)
par: Richert, Willi
Publié: (2013)
Boosting foundations and algorithms /
par: Schapire, Robert E.
Publié: (2012)
par: Schapire, Robert E.
Publié: (2012)
Kernels for structured data
par: Gartner, Thomas
Publié: (2008)
par: Gartner, Thomas
Publié: (2008)
An elementary introduction to statistical learning theory
par: Kulkarni, Sanjeev
Publié: (2011)
par: Kulkarni, Sanjeev
Publié: (2011)
Machine learning in image steganalysis
par: Schaathun, Hans Georg
Publié: (2012)
par: Schaathun, Hans Georg
Publié: (2012)
Least squares support vector machines
Publié: (2002)
Publié: (2002)
Kernel methods for pattern analysis
par: Shawe-Taylor, John
Publié: (2004)
par: Shawe-Taylor, John
Publié: (2004)
Apache Mahout cookbook /
par: Giacomelli, Piero
Publié: (2013)
par: Giacomelli, Piero
Publié: (2013)
Support vector machines data analysis, machine learning and applications /
Publié: (2011)
Publié: (2011)
Tenth Scandinavian Conference on Artificial Intelligence SCAI 2008 /
Publié: (2008)
Publié: (2008)
Encyclopedia of the Sciences of Learning
par: Seel, Norbert M.
Publié: (2012)
par: Seel, Norbert M.
Publié: (2012)
Klassifikation von Niederspannungsnetzen mit Support Vector Machines : Bewertung des Aufnahmevermogens fur Dezentrale Erzeugungsanlagen /
par: Breker, Sebastian
Publié: (2015)
par: Breker, Sebastian
Publié: (2015)
Bodies/machines
Publié: (2002)
Publié: (2002)
Human machine interaction using hybrid biological signals : next step of powered wheelchair controller /
par: Kadam, Pankaj
Publié: (2014)
par: Kadam, Pankaj
Publié: (2014)
Reinforcement Learning : An Introduction /
par: Sutton, Richard S.
Publié: (1998)
par: Sutton, Richard S.
Publié: (1998)
Decentralised reinforcement learning in Markov games /
par: Vrancx, Peter
Publié: (2010)
par: Vrancx, Peter
Publié: (2010)
Artificial life and evolutionary computation proceedings of Wivace 2008, Venice, Italy, 8-10 September 2008 /
Publié: (2010)
Publié: (2010)
Statistical mechanics of learning
par: Engel, A. (Andreas), 1957-
Publié: (2001)
par: Engel, A. (Andreas), 1957-
Publié: (2001)
Process, data and classifier models for accessible supervised classification problem solving /
par: De Bruyne, Steven
Publié: (2010)
par: De Bruyne, Steven
Publié: (2010)
Report of a workshop on the scope and nature of computational thinking
Publié: (2010)
Publié: (2010)
Ontology learning and population bridging the gap between text and knowledge /
Publié: (2008)
Publié: (2008)
Documents similaires
-
Machine learning in non-stationary environments introduction to covariate shift adaptation /
par: Sugiyama, Masashi, 1974-
Publié: (2012) -
Multi-agent machine learning : a reinforcement approach /
par: Schwartz, Howard M.
Publié: (2014) -
Optimization for machine learning
Publié: (2012) -
Next-generation sequencing and sequence data analysis /
par: Chiu, Kuo Ping
Publié: (2015) -
Dataset shift in machine learning
Publié: (2009)