Publications related to Conditional random field

Random field solutions to linear SPDEs driven by symmetric pure jump Levy space-time white noises

Robert Dalang, Thomas Marie Jean-Baptiste Humeau

We study the notions of mild solution and generalized solution to a linear stochastic partial differential equation driven by a pure jump symmetric Levy white noise, with symmetric alpha-stable Levy white noise as an important special case. We identify con ...

UNIV WASHINGTON, DEPT MATHEMATICS2019

A central limit theorem for functions of stationary max-stable random fields on R-d

Erwan Fabrice Koch, Clément Dombry

Max-stable random fields are very appropriate for the statistical modelling of spatial extremes. Hence, integrals of functions of max-stable random fields over a given region can play a key role in the assessment of the risk of natural disasters, meaning t ...

ELSEVIER2019

The Sliding Frank-Wolfe Algorithm for the BLASSO

Emmanuel Emilien Louis Soubies, Quentin Alain Denoyelle, Gabriel Peyré

This paper showcases the Sliding Frank-Wolfe (SFW), which is a novel optimization algorithm to solve the BLASSO sparse spikes super-resolution problem. The BLASSO is the continuous (i.e. off-thegrid or grid-less) counterpart of the well-known `1 sparse reg ...

2019

Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Levy White Noises

Michaël Unser, Julien René Pierre Fageot

Consider a random process s that is a solution of the stochastic differential equation Ls = w with L a homogeneous operator and w a multidimensional Levy white noise. In this paper, we study the asymptotic effect of zooming in or zooming out of the process ...

SPRINGER/PLENUM PUBLISHERS2019

Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition

Subrahmanya Pavankumar Dubagunta

We show that confidence measures estimated from local posterior probabilities can serve as objective functions for training ANNs in hybrid HMM based speech recognition systems. This leads to a segment-level training paradigm that overcomes the limitation o ...

IEEE2019

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

Christian O'Reilly, Elisabetta Iavarone

The curation of neuroscience entities is crucial to ongoing efforts in neuroinformatics and computational neuroscience, such as those being deployed in the context of continuing large-scale brain modelling projects. However, manually sifting through thousa ...

Springer2019

Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation

Boi Faltings, Vincent Jean Fabrice Schickel, Stéphane Bernard Martin

We describe the selection, implementation and online evaluation of two e-commerce recommender systems developed with our partner company, Prediggo. The first one is based on the novel method of Bayesian Variable-order Markov Modeling (BVMM). The second, SS ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2019

An anthropomorphic soft skeleton hand exploiting conditional models for piano playing

Josephine Anna Eleanor Hughes

The development of robotic manipulators and hands that show dexterity, adaptability, and subtle behavior comparable to human hands is an unsolved research challenge. In this article, we considered the passive dynamics of mechanically complex systems, such ...

American Association for the Advancement of Science2018

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Conditional random field

Random field solutions to linear SPDEs driven by symmetric pure jump Levy space-time white noises

A central limit theorem for functions of stationary max-stable random fields on R-d

The Sliding Frank-Wolfe Algorithm for the BLASSO

Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Levy White Noises

Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition

Stochastic Frank-Wolfe for Composite Convex Minimization

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation

Spatial Risk Measures and Rate of Spatial Diversification

An anthropomorphic soft skeleton hand exploiting conditional models for piano playing

Graph Chatbot

Chat with Graph Search

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

Spatial Risk Measures and Rate of Spatial Diversification

The Sliding Frank-Wolfe Algorithm for the BLASSO

A central limit theorem for functions of stationary max-stable random fields on R-d

Random field solutions to linear SPDEs driven by symmetric pure jump Levy space-time white noises

Stochastic Frank-Wolfe for Composite Convex Minimization

Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition

Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Levy White Noises

An anthropomorphic soft skeleton hand exploiting conditional models for piano playing

Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation