کتاب های Alexander J Smola

Advances in Large Margin Classifiers
Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, Dale Schuurmans (Editors), 2000
Learning with kernels : support vector machines, regularization, optimization, and beyond
Bernhard Schölkopf; Alexander J Smola, 2002
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Bernhard Schlkopf, Alexander J. Smola, 2001
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Bernhard Schlkopf, Alexander J. Smola, 2001
Learning with kernels: support vector machines, regularization, optimization, and beyond
Bernhard Schölkopf, Alexander J. Smola, 2002
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Bernhard Schlkopf, Alexander J. Smola, 2001
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
Bernhard Schölkopf, Alexander J. Smola, 2001
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
Bernhard Schlkopf, Alexander J. Smola, 2001
Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002 Revised Lectures
Shahar Mendelson (auth.), Shahar Mendelson, Alexander J. Smola (eds.), 2003
Advances in large margin classifiers
Alexander J. (EDT) Smola, 2000
Advances in Large-Margin Classifiers
Alexander J. Smola, 2000
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Bernhard Schlkopf, Alexander J. Smola, 2002
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Bernhard Schölkopf, Alexander J. Smola, 2001
Learning with Kernels. Support Vector Machines, Regularization, Optimization and Beyond
Bernhard Schlkopf, Alexander J. Smola, 2002
动手学深度学习
阿斯顿·张(Aston Zhang), 李沐(Mu Li), [美] 扎卡里·C. 立顿(Zachary C. Lipton), [德] 亚历山大·J. 斯莫拉(Alexander J. Smola), 2019
Dive into Deep Learning
Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola, 2021