Balázs Csanád Csáji
Balázs Csanád Csáji
SZTAKI: Institute for Computer Science and Control, Budapest, Hungary
Dirección de correo verificada de - Página principal
Citado por
Citado por
Approximation with Artificial Neural Networks
BC Csáji
MSc Thesis, Eötvös Loránd University (ELTE), Budapest, Hungary, 2001
Exploring the Mobility of Mobile Phone Users
BC Csáji, A Browet, VA Traag, JC Delvenne, E Huens, P Van Dooren, ...
Physica A: Statistical Mechanics and its Applications 392 (6), 1459-1473, 2013
Complexity-Based Modeling of Reconfigurable Collaborations in Production Industry
G Schuh, L Monostori, BC Csáji, S Döring
CIRP Annals: Manufacturing Technology 57 (1), 445-450, 2008
Cooperative Control in Production and Logistics
L Monostori, P Valckenaers, A Dolgui, H Panetto, M Brdys, BC Csáji
Annual Reviews in Control 39, 12-29, 2015
Intelligent Control for Energy-Positive Street Lighting
A Kovács, R Bátai, BC Csáji, P Dudás, B Háy, G Pedone, T Révész, ...
Energy 114, 40-51, 2016
PageRank Optimization by Edge Selection
BC Csáji, RM Jungers, VD Blondel
Discrete Applied Mathematics 169, 73-87, 2014
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-asymptotic Confidence Regions in Linear Regression Models
BC Csáji, MC Campi, E Weyer
IEEE Transactions on Signal Processing 63 (1), 169-181, 2015
Towards Adaptive and Digital Manufacturing
L Monostori, BC Csáji, B Kádár, A Pfeiffer, E Ilie-Zudor, Z Kemény, ...
Annual Reviews in Control 34 (1), 118-128, 2010
Non-Asymptotic Confidence Regions for the Least-Squares Estimate
BC Csáji, MC Campi, E Weyer
16th IFAC Symposium on System Identification (IFAC SYSID), 227-232, 2012
Finite-Sample System Identification: An Overview and a New Correlation Method
A Carè, BC Csáji, MC Campi, E Weyer
IEEE Control Systems Letters 2 (1), 61-66, 2017
Reinforcement Learning in a Distributed Market-Based Production Control System
BC Csáji, L Monostori, B Kádár
Advanced Engineering Informatics 20 (3), 279-288, 2006
Wireless Multi-Sensor Networks for Smart Cities: A Prototype System with Statistical Data Analysis
BC Csáji, Z Kemény, G Pedone, A Kuti, J Váncza
IEEE Sensors Journal 17 (23), 7667-7676, 2017
Value Function Based Reinforcement Learning in Changing Markovian Environments
BC Csáji, L Monostori
Journal of Machine Learning Research (JMLR) 9, 1679-1709, 2008
Adaptation and Learning in Distributed Production Control
L Monostori, BC Csáji, B Kádár
CIRP Annals: Manufacturing Technology 53 (1), 349-352, 2004
Asymptotic Properties of SPS Confidence Regions
E Weyer, MC Campi, BC Csáji
Automatica 82, 287-294, 2017
Improving Multi-Agent Based Scheduling by Neurodynamic Programming
BC Csáji, B Kádár, L Monostori
Holonic and Multi-Agent Systems for Manufacturing, 110-123, 2003
PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation
BC Csáji, RM Jungers, VD Blondel
Algorithmic Learning Theory (ALT), 89-103, 2010
Adaptive Stochastic Resource Control: A Machine Learning Approach
BC Csáji, L Monostori
Journal of Artificial Intelligence Research (JAIR) 32, 453-486, 2008
Learning and Cooperation in a Distributed Market-Based Production Control System
BC Csáji, L Monostori, B Kádár
5th International Workshop on Emergent Synthesis (IWES), 109-116, 2004
Sign-Perturbed Sums (SPS): A Method for Constructing Exact Finite-Sample Confidence Regions for General Linear Systems
BC Csáji, MC Campi, E Weyer
51st IEEE Conference on Decision and Control (CDC), 7321-7326, 2012
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20