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List of works by Sandro Ridella

A Deep Connection Between the Vapnik–Chervonenkis Entropy and the Rademacher Complexity

scientific article published on 01 December 2014

A Hardware-friendly Support Vector Machine for Embedded Automotive Applications

A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers

A local Vapnik-Chervonenkis complexity.

scientific article published on 18 July 2016

A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space

scholarly article published August 2013

A support vector machine with integer parameters

An improved analysis of the Rademacher data-dependent bound using its self bounding property

scientific article

Circular backpropagation networks embed vector quantization

scientific article published on 01 January 1999

Digital implementation of hierarchical vector quantization.

scientific article

Empirical measure of multiclass generalization performance: the K-winner machine case.

scientific article

Fast convergence of extended Rademacher Complexity bounds

Feed-forward support vector machine without multipliers.

scientific article published in September 2006

Fully Empirical and Data-Dependent Stability-Based Bounds

scientific article

Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates

Hyperparameter design criteria for support vector classifiers

article

In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine

In-sample and out-of-sample model selection and error estimation for support vector machines

scientific article

In-sample model selection for Support Vector Machines

article

K-winner machines for pattern classification.

scientific article published in January 2001

Learning Hardware-Friendly Classifiers Through Algorithmic Stability

Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency

article

Learning algorithm for nonlinear support vector machines suited for digital VLSI

scientific article published in 1999

Local Rademacher Complexity: sharper risk bounds with and without unlabeled samples

scientific article

Maximal Discrepancy for Support Vector Machines

Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory

article

Nested Sequential Minimal Optimization for Support Vector Machines

Out-of-Sample Error Estimation: The Blessing of High Dimensionality

PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis

scholarly article by Luca Oneto et al published September 2016 in Pattern Recognition Letters

Quantum optimization for training support vector machines

scientific article published on June 2003

Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets

article

Randomized learning: Generalization performance of old and new theoretically grounded algorithms

Representation and generalization properties of class-entropy networks.

scientific article published in January 1999

Selecting the hypothesis space for improving the generalization ability of Support Vector Machines

Shrinkage learning to improve SVM with hints

Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities

article published in 2014

Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity

Statistically controlled activation weight initialization (SCAWI).

scientific article published in January 1992

Study of bound water of poly-adenine using high frequency dielectric measurements.

scientific article published on May 1986

Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters

Test error bounds for classifiers: A survey of old and new results

The physical state of intranuclear water and ions: changes during cell proliferation and chemically induced carcinogenesis

scientific article published on 01 January 1987

The systemic effect of cancers on human sera proton NMR relaxation times ⬇️

scientific article published on January 1, 1984

Tikhonov, Ivanov and Morozov regularization for support vector machine learning

scholarly article by Luca Oneto et al published 22 December 2015 in Machine Learning

Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers

scholarly article by Davide Anguita et al published February 2014 in Pattern Recognition Letters

Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications

Using unsupervised analysis to constrain generalization bounds for support vector classifiers.

scientific article

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