Concept

Bayesian linear regression

Related publications (132)

Tractability of interpretability via selection of group-sparse models

Volkan Cevher, Luca Baldassarre, Nirav Bhan

Group-based sparsity models are proven instrumental in linear regression problems for recovering signals from much fewer measurements than standard compressive sensing. A promise of these models is to lead to “interpretable” signals for which we identify i ...

2013

Process Design and Optimization (MLS-S03): Model Identification by Gradient Methods

Julien Léo Billeter

This lecture describes the following topics: • Dynamic Models - Conservation of Mass (Concentration Measurements) - Conservation of Energy (Calorimetry) - Beer’s Law (Spectroscop ...

2013

Analysis and prediction of TBM performance in blocky rock conditions at the Lotschberg Base Tunnel

Jian Zhao, Andrea Delisio

This paper focuses on the analysis of the TBM performance recorded during the excavation of the Lotschberg Base Tunnel. The southern part of the tunnel was excavated by two gripper TBMs, partly through blocky rock masses at great depth. The jointed nature ...

Elsevier2013

Optimal Classification In Sparse Gaussian Graphic Model

Zhigang Yao, Yingying Fan

Consider a two-class classification problem where the number of features is much larger than the sample size. The features are masked by Gaussian noise with mean zero and covariance matrix Sigma, where the precision matrix Omega = Sigma(-1) is unknown but ...

Institute of Mathematical Statistics2013

Can Multi-Channel FID Navigators Quantify Head Motion?

Rolf Gruetter, Tobias Kober, Michael Herbst, Matthias Seeger, Gunnar Krüger

This work investigates the ability of free induction decay (FID) navigators to provide information on rigid head motion. FID navigators were incorporated in a gradient-echo sequence. In parallel, optical tracking data was acquired and served as the ground ...

2013

Clustering flood events from water quality time-series using Latent Dirichlet Allocation model

Jean-Marc Odobez, Rémi Emonet

To improve hydro-chemical modeling and forecasting, there is a need to better understand flood-induced variability in water chemistry and the processes controlling it in watersheds. In the literature, assumptions are often made, for instance, that stream c ...

2013

Reducing the number of calibration patterns for the two-by-two dot centering model

Roger Hersch, Romain Rossier, Vahid Babaei

The two-by-two dot centering model enables predicting the spectral reflectance of color halftones and does not depend on a specific halftoning algorithm. It requires measuring the reflectances of a large number of two-by-two calibration tile patterns. Spec ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2012

A new method for internal-external rotation measurement in a prosthetic knee

Kamiar Aminian, Arash Arami

In this work, a magnetic measurement system was designed and tested to estimate the Internal-External rotation between the Tibial and Femural parts of a knee prosthesis. To obtain this, the sensors were inserted in polyethylene part while a permanent magne ...

2012

Multi-pose lipreading and audio-visual speech recognition

Jean-Philippe Thiran, Virginia Estellers Casas

In this article, we study the adaptation of visual and audio-visual speech recognition systems to non-ideal visual conditions. We focus on overcoming the effects of a changing pose of the speaker, a problem encountered in natural situations where the speak ...

2012

Location Optimization for a Vehicle Sharing Service

Michel Bierlaire, Prem Kumar

Car-sharing business provides members access to a fleet of shared-use vehicles in a network of locations on a short-term, as-needed basis. It allows individuals to gain the benefits of private vehicle use without the costs and responsibilities of ownership ...

2012

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