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6 papers · 1 filter
TIMBRE: Efficient Job Recommendation On Heterogeneous Graphs For Professional Recruiters
Eric Behar, Julien Romero, Amel Bouzeghoub +1
Job recommendation gathers many challenges well-known in recommender systems. First, it suffers from the cold start problem, with the user (the candidate) and the item (the job) ha…
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
Vladimir R. Kostic, Karim Lounici, Hélène Halconruy +3
Markov processes serve as a universal model for many real-world random processes. This paper presents a data-driven approach for learning these models through the spectral decompos…
Martin boundary of a space-time Brownian motion with drift killed at the boundary of a moving cone
Sandro Franceschi
We study a space-time Brownian motion with drift B(t)=(t_0+t,y_0+W(t)+t) killed at the moving boundary of the cone {(t,x):0<x<t}. This article determines the parabolic Martin bound…
Reflected Brownian Motion in a wedge: sum-of-exponential absorption probability at the vertex and differential properties
Jules Flin, Sandro Franceschi
We study a Brownian motion with drift in a wedge of angle which is obliquely reflected on each edge along angles and . We assume that the classical parameter $…
Generators of measure-valued jump diffusions and convergence rate of diffusive mean-field models
Xavier Erny
The paper has two objectives: proving that the rate of convergence in distribution for mean-field models in CLT regime is , and obtaining explicit expressions for the inf…
Forecasting with Pairwise Gaussian Markov Models
Marc Escudier, Ikram Abdelkefi, Clément Fernandes +1
Pairwise Markov Models (PMMs) extend the wellknown Hidden Markov Models (HMMs). Being significantly more general, PMMs enable several types of processing, like Bayesian filtering o…