Publications related to Automatic L2 Regularization for Multiple Generalized Additive Models

Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models

We analyze individual travel discomfort-time tradeoffs in Paris subway using stated choice experiments. The survey design allows to set up in a willingness-to-pay space to estimate the distributions of elasticities of values of travel time savings to crowd ...

2015

Process Design and Optimization (MLS-S03): a Journey in Modeling, Optimization and Regression

Julien Léo Billeter

This lecture describes the following topics: • Preamble on Linear Algebra • Dynamic and Static Models • Solving Dynamic and Static Models • Solving Optimization Problems • Solving Regression Problems ...

2015

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Michael Lehning, Wolf Hendrik Huwald, Bettina Schaefli, Aurélien Gallice

Stream temperature is a hydrological factor which affects the habitat suitability of many aquatic species, and is therefore of great concern in the actual context of climate change. Its prediction in ungauged basins is usually based on statistical approach ...

2015

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Kamiar Aminian, Arash Arami, Natacha Vida Martins

Here we present a low-power magnetic measurement system based on only two Hall-effect elements and a permanent magnet integrated into a smart knee prosthesis to accurately measure knee flexion-extension. The smart prosthesis was tested in a robotic knee si ...

Institute of Electrical and Electronics Engineers2015

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging

Tobias Kober, Michael Herbst

Free induction decay (FID) navigators were found to qualitatively detect rigid-body head movements, yet it is unknown to what extent they can provide quantitative motion estimates. Here, we acquired FID navigators at different sampling rates and simultaneo ...

Ieee-Inst Electrical Electronics Engineers Inc2015

EMG-based learning approach for estimating wrist motion

Aude Billard, Silvestro Micera, Sahar El Khoury, Iason Batzianoulis

This paper proposes an EMG based learning approach for estimating the displacement along the 2-axes (abduction/adduction and flexion/extension) of the human wrist in real-time. The algorithm extracts features from the EMG electrodes on the upper and forear ...

2015

Exploratory Analysis of Endogeneity in Discrete Choice Models

Michel Bierlaire, Anna Fernández Antolín, Amanda Blomberg Stathopoulos

A model is said to be affected by endogeneity when its deterministic part is correlated with the error term. This is an issue that affects both linear models such as regression and non-linear models like discrete choice models. It is a classical and well s ...

2014

Modeling the monthly mean stream temperature dynamics

Michael Lehning, Wolf Hendrik Huwald, Bettina Schaefli, Aurélien Gallice

Water temperature is a hydrological factor which affects the habitat suitability of many aquatic (fish) species, and is therefore of great concern in the actual context of climate change. Two types of models are currently used to simulate stream temperatur ...

2014

Methodologies for predicting natural frequency variation of a suspension bridge

Ian Smith, Ngoc Thanh Trinh, Irwanda Laory

In vibration-based structural health monitoring, changes in the natural frequency of a structure are used to identify changes in the structural conditions due to damage and deterioration. However, natural frequency values also vary with changes in environm ...

Elsevier2014

Automatic L2 Regularization for Multiple Generalized Additive Models

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Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models

Process Design and Optimization (MLS-S03): a Journey in Modeling, Optimization and Regression

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging

EMG-based learning approach for estimating wrist motion

Exploratory Analysis of Endogeneity in Discrete Choice Models

Modeling the monthly mean stream temperature dynamics

Methodologies for predicting natural frequency variation of a suspension bridge

Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models

Modeling the monthly mean stream temperature dynamics

Process Design and Optimization (MLS-S03): a Journey in Modeling, Optimization and Regression

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

EMG-based learning approach for estimating wrist motion

Exploratory Analysis of Endogeneity in Discrete Choice Models

Methodologies for predicting natural frequency variation of a suspension bridge

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Sparsistency of $\ell_1$-Regularized $M$-Estimators