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2020 – today
- 2024
[i1]Amin Shojaeighadikolaei, Zsolt Talata, Morteza Hashemi:
Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks. CoRR abs/2404.12520 (2024)
2010 – 2019
- 2019
- [c8]Zsolt Talata:
Context Block Estimation for Random Fields. ISIT 2019: 51-55 - 2016
- [c7]Hee Sun Kim, Zsolt Talata:
Context Set Weighting method. ISIT 2016: 1222-1226 - 2014
- [c6]Zsolt Talata:
Markov neighborhood estimation with linear complexity for random fields. ISIT 2014: 3042-3046 - 2012
- [c5]Zsolt Talata:
Penalized maximum likelihood methods for finite memory estimators of infinite memory processes. ISIT 2012: 875-879 - 2011
- [j4]Zsolt Talata, Tyrone E. Duncan:
BIC Context Tree Estimation for Stationary Ergodic Processes. IEEE Trans. Inf. Theory 57(6): 3877-3886 (2011) - 2010
- [j3]Imre Csiszár, Zsolt Talata:
On rate of convergence of statistical estimation of stationary ergodic processes. IEEE Trans. Inf. Theory 56(8): 3637-3641 (2010) - [c4]Zsolt Talata:
Divergence of information-criterion based Markov order estimators for infinite memory processes. ISIT 2010: 1378-1382
2000 – 2009
- 2009
- [c3]Zsolt Talata, Tyrone E. Duncan:
Unrestricted BIC context tree estimation for not necessarily finite memory processes. ISIT 2009: 724-728 - 2006
- [j2]Imre Csiszár, Zsolt Talata:
Context tree estimation for not necessarily finite memory processes, via BIC and MDL. IEEE Trans. Inf. Theory 52(3): 1007-1016 (2006) - 2005
- [j1]Zsolt Talata:
Model selection via information criteria. Period. Math. Hung. 51(1): 99-117 (2005) - [c2]Imre Csiszár, Zsolt Talata:
Context tree estimation for not necessarily finite memory processes, via BIC and MDL. ISIT 2005: 755-759 - 2004
- [c1]Imre Csiszár, Zsolt Talata:
Consistent estimation of the basic neighborhood of Markov random fields. ISIT 2004: 170
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