Concept

Dilemme biais-variance

Publications associées (126)

Exploring Selection Bias by Causal Frailty Models

Counter-intuitive associations appear frequently in epidemiology, and these results are often debated. In particular, several scenarios are characterized by a general risk factor that appears protective in particular subpopulations, for example, individual ...

2017

Field Plate Design for Low Leakage Current in Lateral GaN Power Schottky Diodes: Role of the Pinch-Off Voltage

Elison de Nazareth Matioli, Jun Ma, Dante Colao Zanuz

In this letter, we demonstrate a general model to reduce the reverse leakage current (I-R) in high-voltage AlGaN/GaN Schottky diodes (SBDs) by engineering the pinchoff voltage (V-p) of their field plates (FPs). The maximum voltage drop at the Schottky junc ...

Institute of Electrical and Electronics Engineers2017

Online Inference in Bayesian Non-Parametric Mixture Models under Small Variance Asymptotics

Sylvain Calinon, Ajay Kumar Tanwani

Adapting statistical learning models online with large scale streaming data is a challenging problem. Bayesian non-parametric mixture models provide flexibility in model selection, however, their widespread use is limited by the computational overhead of e ...

2016

From averaging to acceleration, there is only a step-size

Nicolas Henri Bernard Flammarion

We consider the optimization of a quadratic objective function whose gradients are only accessible through a stochastic oracle that returns the gradient at any given point plus a zero-mean finite variance random error. We present the first algorithm that a ...

2015

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

Satoshi Takahama

In developing partial least squares calibration models, selecting the number of latent variables used for their construction to minimize both model bias and model variance remains a challenge. Several metrics exist for incorporating these trade-offs, but t ...

Wiley-Blackwell2015

A Deeper Look at Dataset Bias

Barbara Caputo, Tatiana Tommasi, Novi Patricia

The presence of a bias in each image data collection has recently attracted a lot of attention in the computer vision community showing the limits in generalization of any learning method trained on a specific dataset. At the same time, with the rapid deve ...

Springer Int Publishing Ag2015

Asynchronous Adaptation and Learning Over Networks—Part III: Comparison Analysis

Ali H. Sayed

In Part II of this paper, also in this issue, we carried out a detailed mean-square-error analysis of the performance of asynchronous adaptation and learning over networks under a fairly general model for asynchronous events including random topologies, ra ...

Institute of Electrical and Electronics Engineers2015

The Respiration Pattern as an Indicator of the Anaerobic Threshold

Jean-Marc Vesin, Mathieu Lemay, Leila Mirmohamadsadeghi

The anaerobic threshold (AT) is a good index of personal endurance but needs a laboratory setting to be determined. It is important to develop easy AT field measurements techniques in order to rapidly adapt training programs. In the present study, it is po ...

2015

Time–Data Tradeoffs by Aggressive Smoothing

Volkan Cevher

This paper proposes a tradeoff between sample complexity and computation time that applies to statistical estimators based on convex optimization. As the amount of data increases, we can smooth optimization problems more and more aggressively to achieve ac ...

2014

Accurate RF modeling of nanoscale MOSFET using BSIM6 including low levels of inversion

Christian Enz, Maria-Anna Chalkiadaki

Nanoscale CMOS devices display very high peak transit frequency Ft of several hundreds of GHz. This feature can be exploited for reducing power consumption by shifting the operating point towards moderate or eventually weak inversion where the Ft still rea ...

Elsevier2014

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