Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Lopes, Manuel P."'
Autor:
Bioucas, Francisco E. B., Queirós, Carla S. G. P., Lozano-Martín, Daniel, Ferreira, M. S., Paredes, Xavier, Santos, Ângela F., Santos, Fernando J. V., Lopes, Manuel L. M., Lampreia, Isabel M. S., Lourenço, Maria José V., de Castro, Carlos A. Nieto, Massonne, Klemens
Publikováno v:
Ind. Eng. Chem. Res. 2022, 61, 5, 2280-2305
Ionic liquids have proved to be excellent heat transfer fluids and alternatives to common HTFs used in industries for heat exchangers and other heat transfer equipment. However, its industrial utilization depends on the cost per kg of its production,
Externí odkaz:
http://arxiv.org/abs/2409.04070
Publikováno v:
Published in proceedings of the IEEE ICRA 2010
We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using Recursive Least Squares (RLS) estimation, which outperforms gradient metho
Externí odkaz:
http://arxiv.org/abs/2402.06067
Publikováno v:
122th Convention of the Audio Engineering Society, Audio Engineering Society, May 2007, Vienne (Autriche), Austria
Experiments studying mainly proximity effect are presented. Pink noise and music were used as stimuli and a combo guitar amplifier as source to test several microphones: omnidirectional and directional. We plot in-axis levels and spectral balances as
Externí odkaz:
http://arxiv.org/abs/2401.14410
Autor:
Millot, Laurent, Valette, Antoine, Lopes, Manuel, Pelé, Gérard, Elliq, Mohammed, Lambert, Dominique
Publikováno v:
120th Convention of the Audio Engineering Society, Audio Engineering Society, May 2006, Paris, France
We will present a first step in design of a broadband physical model for microphones. Within the proposed model, classical directivity patterns (omnidirectional, bidirectional and cardioids family) are refound as limit cases: monochromatic excitation
Externí odkaz:
http://arxiv.org/abs/2401.02164
We study the problem of teaching via demonstrations in sequential decision-making tasks. In particular, we focus on the situation when the teacher has no access to the learner's model and policy, and the feedback from the learner is limited to trajec
Externí odkaz:
http://arxiv.org/abs/2309.09095
The automation of functional testing in software has allowed developers to continuously check for negative impacts on functionality throughout the iterative phases of development. This is not the case for User eXperience (UX), which has hitherto reli
Externí odkaz:
http://arxiv.org/abs/2104.06220
Akademický článek
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Autor:
Lopes, Manuel, Melo, Francisco
In this paper we propose the first machine teaching algorithm for multiple inverse reinforcement learners. Specifically, our contributions are: (i) we formally introduce the problem of teaching a sequential task to a heterogeneous group of learners;
Externí odkaz:
http://arxiv.org/abs/1911.13009
Publikováno v:
AI Communications, vol. 33, no. 3-6, pp. 155-171, 2020
The rise of artificial intelligence (A.I.) based systems is already offering substantial benefits to the society as a whole. However, these systems may also enclose potential conflicts and unintended consequences. Notably, people will tend to adopt a
Externí odkaz:
http://arxiv.org/abs/1907.03843
Akademický článek
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