Multiple classifier systems : 6th international workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005 : proceedings /

Multiple classifier systems : 7th international workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007 : proceedings /
Published: (2007)

Multiple classifier systems : 6th international workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005 : proceedings /
Published: (2005)

Multiple classifier systems : second international workshop, MCS 2001, Cambridge, UK, July 2-4, 2001 : proceedings /
Published: (2001)

Multiple classifier systems : 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011, proceedings /
Published: (2011)

Multiple classifier systems : 8th international workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009 ; proceedings /
Published: (2009)

Multiple classifier systems : 9th international workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010 ; proceedings /
Published: (2010)

Multiple classifier systems : 7th international workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007 : proceedings /
Published: (2007)

Multiple classifier systems : first international workshop, MCS 2000, Cagliari, Italy, June 21-23, 2000 : proceedings /
Published: (2000)

Multiple classifier systems : second international workshop, MCS 2001, Cambridge, UK, July 2-4, 2001 : proceedings /
Published: (2001)

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

The mathematics of generalization : the proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning /
Published: (1995)

Machine learning and perception /
Published: (1996)

Learning classifier systems : international workshops, IWLCS 2003-2005 : revised selected papers /
Published: (2007)

Advances in learning classifier systems : 4th international workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001 : revised papers /
Published: (2002)

Machine learning : from theory to applications : cooperative research at Siemens and MIT /
Published: (1993)

Dataset shift in machine learning /
Published: (2009)

Principles and labs for deep learning /
by: Huang, Shih-Chia
Published: (2021)

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

Semi-supervised learning /
Published: (2006)

Deep learning patterns and practices /
by: Ferlitsch, Andrew
Published: (2021)

Learning classifier systems : 5th international workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002 : revised papers /
Published: (2003)

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)

Kernel methods for pattern analysis /
by: Shawe-Taylor, John
Published: (2004)

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

Advances in learning classifier systems : 4th international workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001 : revised papers /
Published: (2002)

Cybernetical intelligence : engineering cybernetics with machine intelligence /
by: Wong, Kelvin K. L.
Published: (2023)

Machine learning : from theory to applications : cooperative research at Siemens and MIT /
Published: (1993)

Demystifying deep learning : an introduction to the mathematics of neural networks /
by: Santry, Douglas J.
Published: (2024)

Graphical models for machine learning and digital communication /
by: Frey, Brendan J.
Published: (1998)

An introduction to deep learning methods.
Published: (2019)

Learning and generalisation : with applications to neural networks /
by: Vidyasagar, M. (Mathukumalli), 1947-
Published: (2003)

Learning classifier systems : international workshops, IWLCS 2003-2005 : revised selected papers /
Published: (2007)

Machine learning and data mining in pattern recognition : 4th international conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005 : proceedings /
Published: (2005)

Introduction to deep learning and neural networks with Python /
by: Gad, Ahmed, et al.
Published: (2020)

Learning theory : 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007 : proceedings /
Published: (2007)