كتب بواسطة Bernhard Schölkopf - BookPine

Learning With Kernels: Support Vector Machines, Regularization, Optimization, And Beyond

Learning With Kernels: Support Vector Machines, Regularization, Optimization, And Beyond

Alexander J. Smola

Elements of Causal Inference: Foundations and Learning Algorithms

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters

Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik

Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik

Bernhard Schölkopf

Advances in Kernel Methods: Support Vector Learning

Rosanna Soentpiet

Semi-Supervised Learning

Olivier Chapelle

Learning Theory and Kernel Machines: 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings

Bernhard Schölkopf

Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics

Henry Horng-Shing Lu

Causality: Objectives and Assessment: Challenges in Machine Learning, volume 4

Causality: Objectives and Assessment: Challenges in Machine Learning, volume 4

Isabelle Guyon

Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference

Bernhard Schölkopf

Predicting Structured Data

Predicting Structured Data

Gökhan Bakir

Kernel Methods in Computational Biology

Kernel Methods in Computational Biology

Bernhard Schölkopf

Learning Theory and Kernel Machines: 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, ...

Learning Theory and Kernel Machines: 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, ...

Bernhard Schölkopf

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

Bernhard Schölkopf

Handbook of Neural Network Signal Processing

Handbook of Neural Network Signal Processing

Richard C. Dorf

Advances in Large-Margin Classifiers

Advances in Large-Margin Classifiers

Alexander J. Smola

Learning Theory and Kernel Machines: 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, Colt/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings

Learning Theory and Kernel Machines: 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, Colt/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings

Bernhard Schölkopf

Adaptive Computation and Machine Learning

Adaptive Computation and Machine Learning

Daphne Koller