Publications related to Stepwise regression

Understanding the Reconstruction of Personal Networks Through Residential Trajectories

Vincent Kaufmann, Guillaume Simon Joseph Drevon, Gil Viry

This article examines how residential trajectories influence the spatiality and composition of personal networks. Three mechanisms are considered: the addition of spatially close network members, the selection of spatially distant network members, and the ...

2020

Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction

Ian Smith, Sai Ganesh Sarvotham Pai, Masoud Sanayei

Structural identification using physics-based models and subsequent prediction have much potential to enhance civil infrastructure asset-management decision-making. Interpreting monitoring information in the presence of multiple uncertainty sources and sys ...

2020

Automatic Pathological Speech Intelligibility Assessment Exploiting Subspace-Based Analyses

Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi

Competitive state-of-the-art automatic pathological speech intelligibility measures typically rely on regression training on a large number of features, require a large amount of healthy speech training data, or are applicable only to phonetically balanced ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

Mikhail Kapralov, Amir Zandieh, Navid Nouri

Random binning features, introduced in the seminal paper of Rahimi and Recht '07, are an efficient method for approximating a kernel matrix using locality sensitive hashing. Random binning features provide a very simple and efficient way to approximate the ...

ADDISON-WESLEY PUBL CO2020

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Jan Sickmann Hesthaven, Mariella Kast, Mengwu Guo

We propose a non-intrusive reduced basis (RB) method for parametrized nonlinear partial differential equations (PDEs) that leverages models of different accuracy. The method extracts parameter locations from a collection of low-fidelity (LF) snapshots for ...

MATHICSE2019

When illusions merge

Michael Herzog, Aline Françoise Cretenoud

Recently, we found very weak correlations between the magnitudes of visual illusions. However, we found strong correlations between 19 variants of the Ebbinghaus illusion which differed in color, shape or texture, suggesting that different illusions make u ...

2019

Trends of surface maximum ozone concentrations in Switzerland based on meteorological adjustment for the period 1990-2014

Satoshi Takahama, Eirini Boleti, Christoph Hueglin

We investigate the temporal trends of peak ozone in Switzerland for the 1990-2014 time period. The meteorological conditions have a large influence on ozone formation and drive a large part of the variability in ozone observations. Therefore, the influence ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Computable Bounds on the Exploration Bias

Michael Christoph Gastpar, Ibrahim Issa

Adaptive data analysis is known to introduce bias in reported measurements. Russo and Zou [1] recently introduced an information-theoretic framework to study this problem. Herein, this framework is adopted and new dependence measures are introduced to boun ...

2018

Detecting Flying Objects using a Single Moving Camera

Pascal Fua, Vincent Lepetit, Artem Rozantsev

We propose an approach for detecting flying objects such as Unmanned Aerial Vehicles (UAVs) and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and are filmed by a camera that itself moves. We a ...

2017

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Stepwise regression

Understanding the Reconstruction of Personal Networks Through Residential Trajectories

Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction

Automatic Pathological Speech Intelligibility Assessment Exploiting Subspace-Based Analyses

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Automatic L2 Regularization for Multiple Generalized Additive Models

When illusions merge

Trends of surface maximum ozone concentrations in Switzerland based on meteorological adjustment for the period 1990-2014

Computable Bounds on the Exploration Bias

Detecting Flying Objects using a Single Moving Camera

Graph Chatbot

Chat with Graph Search

Automatic L2 Regularization for Multiple Generalized Additive Models

Automatic Pathological Speech Intelligibility Assessment Exploiting Subspace-Based Analyses

Computable Bounds on the Exploration Bias

Understanding the Reconstruction of Personal Networks Through Residential Trajectories

Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction

Detecting Flying Objects using a Single Moving Camera

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Trends of surface maximum ozone concentrations in Switzerland based on meteorological adjustment for the period 1990-2014

When illusions merge