Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Robert Mattila"'
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:258-268
Publikováno v:
Journal of Systems Science and Complexity. 34:1801-1820
A hidden Markov model (HMM) comprises a state with Markovian dynamics that can only be observed via noisy sensors. This paper considers three problems connected to HMMs, namely, inverse filtering, belief estimation from actions, and privacy enforceme
Publikováno v:
IFAC-PapersOnLine. 54:19-24
We consider a cooperative system identification scenario in which an expert agent (teacher) knows a correct, or at least a good, model of the system and aims to assist a learner-agent (student), but cannot directly transfer its knowledge to the stude
Publikováno v:
CDC
We consider a counter-adversarial sequential decision-making problem where an agent computes its private belief (posterior distribution) of the current state of the world, by filtering private information. According to its private belief, the agent p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80d4fc9a8ac3a4e195e7e41e82ece1f9
http://arxiv.org/abs/2004.04119
http://arxiv.org/abs/2004.04119
Bayesian filtering deals with computing the posterior distribution of the state of a stochastic dynamic system given noisy observations. In this paper, motivated by applications in counter-adversarial autonomous systems, we consider the following inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::960603623f0b1c7514aed0160dcd1d71
http://arxiv.org/abs/2001.11809
http://arxiv.org/abs/2001.11809
Autor:
Matias I. Müller, Gustavo Quintana-Carapia, Celia Sánchez-Pérez, Robert Mattila, Daniel Matatagui, Roberto G. Ramírez-Chavarría
Publikováno v:
IFAC-PapersOnLine. 51:521-526
This work proposes an alternative framework for parametric bioimpedance estimation as a powerful tool to characterize biological media. We model the bioimpedance as an electrical network of paralle ...
Publikováno v:
IFAC-PapersOnLine. 50:8429-8434
This paper discusses algorithms for solving Markov decision processes (MDPs) that have monotone optimal policies. We propose a two-stage alternating convex optimization scheme that can accelerate the search for an optimal policy by exploiting the mon
Autor:
Roberto G. Ramírez-Chavarría, Celia Sánchez-Pérez, Robert Mattila, Gustavo Quintana-Carapia, Matias I. Müller
Electrical impedance spectroscopy (EIS) is a tool for characterizing the electrical behavior of matter. Nevertheless, most of the work is focused on purely experimental results, leading aside alternative measurement and estimation techniques. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3adb0eae193bfa809d0a69053c3d9e3
https://doi.org/10.1016/j.measurement.2019.106913
https://doi.org/10.1016/j.measurement.2019.106913
We consider sequential stochastic decision prob-lems in which, at each time instant, an agent optimizes itslocal utility by solving a stochastic program and, subsequently,announces its decision to the world. Given this action, we studythe problem of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::562e9c38b5a3585e8ffbc0045c16d86e
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277032
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277032
Publikováno v:
ICASSP
We consider fixed-interval smoothing problems for counter-adversarial autonomous systems. An adversary deploys an autonomous filtering and control system that i) measures our current state via a noisy sensor, ii) computes a posterior estimate (belief
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1959645c7e6d3f8e334560a018a519ee