Advanced structured prediction /

Knowledge discovery with support vector machines /
by: Hamel, Lutz
Published: (2009)

Machine learning : algorithms and applications /
by: Mohammed, Mohssen, 1982-, et al.
Published: (2017)

Knowledge discovery with support vector machines /
by: Hamel, Lutz
Published: (2009)

Advances in large margin classifiers /
Published: (2000)

Mastering machine learning algorithms : expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work /
by: Bonaccorso, Giuseppe
Published: (2020)

Learning kernel classifiers : theory and algorithms /
by: Herbrich, Ralf
Published: (2002)

Machine learning algorithms and applications /
Published: (2021)

Foundations of machine learning /
by: Mohri, Mehryar
Published: (2012)

Machine learning /
by: Mitchell, Tom M. (Tom Michael), 1951-
Published: (1997)

C4.5 : programs for machine learning /
by: Quinlan, J. R. (John Ross), 1943-
Published: (1993)

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

Diagnostic test approaches to machine learning and commonsense reasoning systems /
Published: (2013)

Evaluating learning algorithms : a classification perspective /
by: Japkowicz, Nathalie
Published: (2011)

Probabilistic numerics : computation as machine learning /
by: Hennig, Philipp, et al.
Published: (2022)

C4.5 : programs for machine learning /
by: Quinlan, J. R. (John Ross), 1943-
Published: (1993)

An introduction to computational learning theory /
by: Kearns, Michael J.
Published: (1994)

Patterns, predictions, and actions : a story about machine learning /
by: Hardt, Moritz, et al.
Published: (2022)

Algorithmic Learning in a Random World /
by: Vovk, Vladimir, et al.
Published: (2022)

Applied Learning Algorithms for Intelligent IoT.
Published: (2021)

Gradient descent : theory.
Published: (2018)

Machine learning : a constraint-based approach /
by: Gori, Marco
Published: (2017)

Nonnegative matrix and tensor factorizations : applications to exploratory multi-way data analysis and blind source separation /
Published: (2009)

Understanding machine learning : from theory to algorithms /
by: Shalev-Shwartz, Shai, et al.
Published: (2014)

Graph Neural Networks: Foundations, Frontiers, and Applications /
Published: (2022)

Machine learning : a constraint-based approach.
by: Gori, Marco, et al.
Published: (2023)

Advances in kernel methods : support vector learning /
Published: (1999)

Advances in large margin classifiers /
Published: (2000)

Gradient descent : practice.
Published: (2018)

Scalable and distributed machine learning and deep learning patterns /
Published: (2023)

An introduction to computational learning theory /
by: Kearns, Michael J.
Published: (1994)

Recurrent neural networks for prediction : learning algorithms, architectures and stability /
by: Mandic, Danilo P.
Published: (2001)

Recurrent neural networks for prediction : learning algorithms, architectures, and stability /
by: Mandic, Danilo P.
Published: (2001)

Machine learning with R : expert techniques for predictive modeling /
by: Lantz, Brett
Published: (2019)

Conformal prediction for reliable machine learning : theory, adaptations, and applications /
Published: (2014)

Learning to learn /
Published: (1998)

Machine learning : an algorithmic perspective /
by: Marsland, Stephen
Published: (2009)