Learning with Kernels Support Vector Machines, Regularization, Optimization, and Beyond

Regularization, Optimization, Kernels, and Support Vector Machines

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

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Hardcover)

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

Enhancing Kernel Methods for Pattern Classification (Paperback)

Introduction to Vector Analysis

Data-variant Kernel Analysis

Matrix Vector Analysis

Machine Learning: An Algorithmic Perspective, Second Edition

Algorithmic Aspects of Machine Learning

Machine Learning Model Concepts: A Comprehensive Guide (Paperback)

Generalized Vectorization, Cross-products, and Matrix Calculus

Machine Learning 1990 International Conference: Proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas, June 2

Vector Calculus

Machine Learning Foundations: Supervised Unsupervised and Advanced Learning (Hardcover)

Support Vector Machines In Der Bilderkennung: Entscheidungshilfe Durch Algorithmen (German Edition)

Algorithmic Aspects of Machine Learning

Pattern Recognition and Neural Networks

Machine Learning A Concise Introduction

Information Theory and Statistical Learning (Paperback)

Machine Learning: An Algorithmic Perspective, Second Edition

Machine Learning: An Algorithmic Perspective, Second Edition

Machine Learning: A First Course for Engineers and Scientists

Machine Learning with R

Machine Learning: a Concise Introduction

Kernelization: Theory of Parameterized Preprocessing (Hardcover)

Support Vector Machines and Their Application in Chemistry and Biotechnology

A Hands-On Introduction to Machine Learning

Advantages and Pitfalls of Pattern Recognition

Vectors Workbook: Education by Dr. Masi

Optimization and Machine Learning Optimization for

Introduction to Statistical Machine Learning

Vector Spaces and Matrices

Machine Learning: Theory and Practice M. N. Murty [New] [Softcover]

Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms) Eldén, Lars [Used - Good] [Softcover]