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Different parameters - same prediction. An analysis of learning curves

Publications associées (50)

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Printing materials and technologies in the 15th−17th century book production: an undervalued research field

Giovanni Colavizza, Fauzia Albertin

We present a systematic non-invasive investigation of a large corpus of early printed books, exploiting multiple techniques. This work is part of a broader project -- Argeia -- aiming to study early printing technologies, their evolution and, potentially, ...

Elsevier2018

The brain strategy for online learning

Ali H. Sayed, Stefan Vlaski, Bicheng Ying

Complexity is a double-edged sword for learning algorithms when the number of available samples for training in relation to the dimension of the feature space is small. This is because simple models do not sufficiently capture the nuances of the data set, ...

IEEE2016

Clustering citation histories in the Physical Review

Giovanni Colavizza, Massimo Franceschet

We investigate publications through their citation histories – the history events are the citations given to the article by younger publications and the time of the event is the date of publication of the citing article. We propose a methodology, based on ...

Elsevier Science Bv2016

Distributionally Robust Logistic Regression

Daniel Kuhn, Soroosh Shafieezadeh Abadeh, Peyman Mohajerin Esfahani

This paper proposes a distributionally robust approach to logistic regression. We use the Wasserstein distance to construct a ball in the space of probability distributions centered at the uniform distribution on the training samples. If the radius of this ...

2015

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

Accurate Directional Inference for Vector Parameters in Linear Exponential Families

Anthony Christopher Davison

We consider inference on a vector-valued parameter of interest in a linear exponential family, in the presence of a finite-dimensional nuisance parameter. Based on higher-order asymptotic theory for likelihood, we propose a directional test whose p-value i ...

American Statistical Association2014

In this paper, we address the problem of scientific-social network integration to find a matching relationship between members of these networks (i.e. The DBLP publication network and the Twitter social network). This task is a crucial step toward building ...

Springer2014

Background: Airway bacterial colonization by potentially pathogenic microorganisms occurs in a proportion of patients with Chronic Obstructive Pulmonary Disease (COPD). It increases airway inflammation and influences outcomes negatively. Yet, its diagnosis ...

Elsevier2014

Why do individuals behave differently in commons dilemmas? The case of alpine farmers using common property pastures in Grindelwald, Switzerland

Claudia Rebeca Binder Signer, Ivo Philippe Baur

Research articles Why do individuals behave differently in commons dilemmas? The case of alpine farmers using common property pastures in Grindelwald, Switzerland Authors: Ivo Baur , Karina Liechti, Claudia Rebecca Binder Abstract The sustainable use of co ...

2014

Modeling and Optimizing Computer-Assisted Mathematics Learning in Children

Arithmetic abilities are essential in modern society. However, many children suffer from difficulties in learning mathematics, ranging from mild to severe numeracy problems. The prevalence of developmental dyscalculia is about 3%−6% in German speaking coun ...

ETH-Zürich2013