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Jasper De Bock
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2020 – today
- 2024
- [j23]Jasper De Bock, Gert De Cooman, Cassio P. de Campos:
Extended papers from the 11th International Symposium on Imprecise Probabilities: Theories and Applications. Int. J. Approx. Reason. 168: 109150 (2024) - [j22]Gert de Cooman
, Arthur Van Camp
, Jasper De Bock:
The logic behind desirable sets of things, and its filter representation. Int. J. Approx. Reason. 172: 109241 (2024) - [i15]Arne Decadt, Alexander Erreygers, Jasper De Bock:
Extending choice assessments to choice functions: An algorithm for computing the natural extension. CoRR abs/2407.21164 (2024) - 2023
- [j21]Andrés Cano
, Jasper De Bock, Enrique Miranda:
The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21). Int. J. Approx. Reason. 152: 355-356 (2023) - [c38]Jasper De Bock:
A theory of desirable things. ISIPTA 2023: 141-152 - [c37]Gert de Cooman, Arthur Van Camp, Jasper De Bock:
Desirable sets of things and their logic. ISIPTA 2023: 153-164 - [c36]Keano De Vos, Gert de Cooman, Jasper De Bock:
Indistinguishability through exchangeability in quantum mechanics? ISIPTA 2023: 177-188 - [c35]Yema Paul, Alexander Erreygers, Jasper De Bock:
Expected time averages in Markovian imprecise jump processes: a graph-theoretic characterisation of weak ergodicity. ISIPTA 2023: 379-389 - [i14]Jasper De Bock:
A theory of desirable things. CoRR abs/2302.07412 (2023) - [i13]Gert de Cooman, Arthur Van Camp, Jasper De Bock:
The logic behind desirable sets of things, and its filter representation. CoRR abs/2302.08176 (2023) - 2022
- [j20]Gert de Cooman
, Jasper De Bock
:
Randomness is inherently imprecise. Int. J. Approx. Reason. 141: 28-68 (2022) - [j19]Alexander Erreygers, Jasper De Bock:
Markovian imprecise jump processes: Extension to measurable variables, convergence theorems and algorithms. Int. J. Approx. Reason. 147: 78-124 (2022) - [j18]Floris Persiau
, Jasper De Bock, Gert de Cooman
:
On the (dis)similarities between stationary imprecise and non-stationary precise uncertainty models in algorithmic randomness. Int. J. Approx. Reason. 151: 272-291 (2022) - [i12]Arne Decadt, Alexander Erreygers, Jasper De Bock, Gert de Cooman:
Decision-making with E-admissibility given a finite assessment of choices. CoRR abs/2204.07428 (2022) - 2021
- [j17]Natan T'Joens
, Jasper De Bock
, Gert de Cooman
:
A particular upper expectation as global belief model for discrete-time finite-state uncertain processes. Int. J. Approx. Reason. 131: 30-55 (2021) - [j16]Natan T'Joens
, Jasper De Bock
:
Average behaviour in discrete-time imprecise Markov chains: A study of weak ergodicity. Int. J. Approx. Reason. 132: 181-205 (2021) - [c34]Floris Persiau
, Jasper De Bock, Gert de Cooman
:
The Smallest Probability Interval a Sequence Is Random for: A Study for Six Types of Randomness. ECSQARU 2021: 442-454 - [c33]Jasper De Bock, Natan T'Joens:
Average Behaviour of Imprecise Markov Chains: A Single Pointwise Ergodic Theorem for Six Different Models. ISIPTA 2021: 90-99 - [c32]Gert de Cooman, Jasper De Bock:
Randomness and Imprecision: A Discussion of Recent Results. ISIPTA 2021: 110-121 - [c31]Alexander Erreygers, Jasper De Bock:
Extending the Domain of Imprecise Jump Processes from Simple Variables to Measurable Ones. ISIPTA 2021: 140-149 - [c30]Floris Persiau, Jasper De Bock, Gert de Cooman:
A Remarkable Equivalence between Non-Stationary Precise and Stationary Imprecise Uncertainty Models in Computable Randomness. ISIPTA 2021: 244-253 - [c29]Natan T'Joens, Jasper De Bock:
Global Upper Expectations for Discrete-Time Stochastic Processes: In Practice, They Are All The Same! ISIPTA 2021: 310-319 - [c28]Jasper De Bock, Alexander Erreygers, Thomas Krak:
Sum-product laws and efficient algorithms for imprecise Markov chains. UAI 2021: 1476-1485 - [e2]Andrés Cano, Jasper De Bock, Enrique Miranda, Serafín Moral:
International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2021, 6-9 July 2021, University of Granada, Granada, Spain. Proceedings of Machine Learning Research 147, PMLR 2021 [contents] - [i11]Jasper De Bock, Gert de Cooman:
On a notion of independence proposed by Teddy Seidenfeld. CoRR abs/2102.10342 (2021) - 2020
- [j15]Meizhu Li, Shaoguang Huang, Jasper De Bock
, Gert de Cooman
, Aleksandra Pizurica
:
A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information. Sensors 20(18): 5262 (2020) - [c27]Jasper De Bock:
Archimedean Choice Functions - An Axiomatic Foundation for Imprecise Decision Making. IPMU (2) 2020: 195-209 - [c26]Natan T'Joens
, Jasper De Bock:
Limit Behaviour of Upper and Lower Expected Time Averages in Discrete-Time Imprecise Markov Chains. IPMU (2) 2020: 224-238 - [c25]Arne Decadt, Jasper De Bock, Gert de Cooman
:
Inference with Choice Functions Made Practical. SUM 2020: 113-127 - [c24]Floris Persiau
, Jasper De Bock, Gert de Cooman
:
Computable Randomness Is About More Than Probabilities. SUM 2020: 172-186 - [i10]Jasper De Bock:
Archimedean Choice Functions: an Axiomatic Foundation for Imprecise Decision Making. CoRR abs/2002.05196 (2020) - [i9]Jasper De Bock:
Choice functions based on sets of strict partial orders: an axiomatic characterisation. CoRR abs/2003.11631 (2020) - [i8]Arne Decadt, Jasper De Bock, Gert de Cooman:
Inference with Choice Functions Made Practical. CoRR abs/2005.03098 (2020)
2010 – 2019
- 2019
- [j14]Jasper De Bock
:
Independent natural extension for infinite spaces. Int. J. Approx. Reason. 104: 84-107 (2019) - [j13]Alexander Erreygers, Jasper De Bock:
Bounding inferences for large-scale continuous-time Markov chains: A new approach based on lumping and imprecise Markov chains. Int. J. Approx. Reason. 115: 96-133 (2019) - [c23]Natan T'Joens
, Thomas E. Krak, Jasper De Bock, Gert de Cooman
:
A Recursive Algorithm for Computing Inferences in Imprecise Markov Chains. ECSQARU 2019: 455-465 - [c22]Jasper De Bock, Gert de Cooman:
Interpreting, Axiomatising and Representing Coherent Choice Functions in Terms of Desirability. ISIPTA 2019: 125-134 - [c21]Arne Decadt, Gert de Cooman, Jasper De Bock:
Monte Carlo Estimation for Imprecise Probabilities: Basic Properties. ISIPTA 2019: 135-144 - [c20]Alexander Erreygers, Jasper De Bock:
First Steps Towards an Imprecise Poisson Process. ISIPTA 2019: 175-184 - [c19]Thomas E. Krak, Natan T'Joens, Jasper De Bock:
Hitting Times and Probabilities for Imprecise Markov Chains. ISIPTA 2019: 265-275 - [c18]Natan T'Joens, Jasper De Bock, Gert de Cooman:
In Search of a Global Belief Model for Discrete-Time Uncertain Processes. ISIPTA 2019: 377-385 - [e1]Jasper De Bock, Cassio P. de Campos, Gert de Cooman, Erik Quaeghebeur, Gregory R. Wheeler:
International Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA 2019, 3-6 July 2019, Thagaste, Ghent, Belgium. Proceedings of Machine Learning Research 103, PMLR 2019 [contents] - [i7]Jasper De Bock, Gert de Cooman:
An alternative approach to coherent choice functions. CoRR abs/1903.00336 (2019) - 2018
- [j12]Alexander Erreygers
, Cristina Rottondi
, Giacomo Verticale
, Jasper De Bock
:
Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies. IEEE Trans. Commun. 66(11): 5401-5414 (2018) - [c17]Jasper De Bock, Gert de Cooman
:
A Desirability-Based Axiomatisation for Coherent Choice Functions. SMPS 2018: 46-53 - [c16]Alexander Erreygers, Jasper De Bock:
Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision. SMPS 2018: 78-86 - [c15]Thomas E. Krak, Alexander Erreygers, Jasper De Bock:
An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain. SMPS 2018: 124-132 - [c14]Meizhu Li, Jasper De Bock, Gert de Cooman
:
Dynamic Classifier Selection Based on Imprecise Probabilities: A Case Study for the Naive Bayes Classifier. SMPS 2018: 149-156 - [c13]Natan T'Joens
, Gert de Cooman
, Jasper De Bock:
Continuity of the Shafer-Vovk-Ville Operator. SMPS 2018: 200-207 - [i6]Alexander Erreygers, Cristina Rottondi, Giacomo Verticale
, Jasper De Bock:
Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies. CoRR abs/1801.05700 (2018) - [i5]Thomas E. Krak, Alexander Erreygers, Jasper De Bock:
An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain. CoRR abs/1804.01330 (2018) - [i4]Jasper De Bock, Gert de Cooman:
A Desirability-Based Axiomatisation for Coherent Choice Functions. CoRR abs/1806.01044 (2018) - 2017
- [j11]Stavros Lopatatzidis, Jasper De Bock, Gert de Cooman
:
Computing lower and upper expected first-passage and return times in imprecise birth-death chains. Int. J. Approx. Reason. 80: 137-173 (2017) - [j10]Jasper De Bock
:
Credal networks under epistemic irrelevance. Int. J. Approx. Reason. 85: 107-138 (2017) - [j9]Thomas E. Krak, Jasper De Bock
, Arno Siebes:
Imprecise continuous-time Markov chains. Int. J. Approx. Reason. 88: 452-528 (2017) - [j8]Jasper De Bock
:
The Limit Behaviour of Imprecise Continuous-Time Markov Chains. J. Nonlinear Sci. 27(1): 159-196 (2017) - [c12]Gert de Cooman, Jasper De Bock, Márcio Alves Diniz:
Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract). IJCAI 2017: 4995-4999 - [c11]Jasper De Bock:
Independent Natural Extension for Infinite Spaces: Williams-Coherence to the Rescue. ISIPTA 2017: 121-132 - [c10]Gert de Cooman, Jasper De Bock:
Computable Randomness is Inherently Imprecise. ISIPTA 2017: 133-144 - [c9]Alexander Erreygers, Jasper De Bock:
Imprecise Continuous-Time Markov Chains: Efficient Computational Methods with Guaranteed Error Bounds. ISIPTA 2017: 145-156 - [c8]Thomas E. Krak, Jasper De Bock, Arno Siebes:
Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains. ISIPTA 2017: 193-204 - [i3]Jasper De Bock:
Credal Networks under Epistemic Irrelevance. CoRR abs/1701.08661 (2017) - 2016
- [j7]Jasper De Bock, Arthur Van Camp
, Márcio Alves Diniz, Gert de Cooman
:
Representation theorems for partially exchangeable random variables. Fuzzy Sets Syst. 284: 1-30 (2016) - [j6]Gert de Cooman
, Jasper De Bock
, Stavros Lopatatzidis:
Imprecise stochastic processes in discrete time: global models, imprecise Markov chains, and ergodic theorems. Int. J. Approx. Reason. 76: 18-46 (2016) - [j5]Stavros Lopatatzidis, Jasper De Bock, Gert de Cooman
, Stijn De Vuyst
, Joris Walraevens
:
Robust queueing theory: an initial study using imprecise probabilities. Queueing Syst. Theory Appl. 82(1-2): 75-101 (2016) - [c7]Janneke H. Bolt, Jasper De Bock, Silja Renooij
:
Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks. ECAI 2016: 646-654 - [c6]Jasper De Bock:
Reintroducing Credal Networks under Epistemic Irrelevance. Probabilistic Graphical Models 2016: 123-135 - 2015
- [j4]Jasper De Bock, Gert de Cooman
:
Credal networks under epistemic irrelevance: The sets of desirable gambles approach. Int. J. Approx. Reason. 56: 178-207 (2015) - [j3]Jasper De Bock, Gert de Cooman
:
Conditioning, updating and lower probability zero. Int. J. Approx. Reason. 67: 1-36 (2015) - [j2]Gert De Cooman
, Jasper De Bock, Márcio Alves Diniz:
Coherent Predictive Inference under Exchangeability with Imprecise Probabilities. J. Artif. Intell. Res. 52: 1-95 (2015) - 2014
- [j1]Jasper De Bock, Gert de Cooman
:
An Efficient Algorithm for Estimating State Sequences in Imprecise Hidden Markov Models. J. Artif. Intell. Res. 50: 189-233 (2014) - [c5]Jasper De Bock, Cassio P. de Campos, Alessandro Antonucci:
Global Sensitivity Analysis for MAP Inference in Graphical Models. NIPS 2014: 2690-2698 - [c4]Cedric De Boom, Jasper De Bock, Arthur Van Camp
, Gert de Cooman:
Robustifying the Viterbi Algorithm. Probabilistic Graphical Models 2014: 160-175 - 2013
- [c3]Jasper De Bock, Gert de Cooman:
Extreme Lower Previsions and Minkowski Indecomposability. ECSQARU 2013: 157-168 - 2012
- [c2]Gert de Cooman
, Jasper De Bock, Arthur Van Camp
:
Recent advances in imprecise-probabilistic graphical models. ECAI 2012: 27-32 - [c1]Jasper De Bock, Gert de Cooman
:
Imprecise Bernoulli Processes. IPMU (3) 2012: 400-409 - [i2]Jasper De Bock, Gert de Cooman:
Credal nets under epistemic irrelevance. CoRR abs/1208.1136 (2012) - [i1]Jasper De Bock, Gert de Cooman:
An efficient algorithm for estimating state sequences in imprecise hidden Markov models. CoRR abs/1210.1791 (2012)
Coauthor Index
aka: Gert De Cooman
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last updated on 2024-08-22 19:43 CEST by the dblp team
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