International Journal of Approximate Reasoning, Volume 83

Volume 83, April 2017

Virtual Special Section on Bayesian Nonparametrics

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  Hong Phuong Dang, Pierre Chainais:
  Indian Buffet Process dictionary learning: Algorithms and applications to image processing. 1-20

Bayesian structure learning

• 
  Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander:
  Learning Gaussian graphical models with fractional marginal pseudo-likelihood. 21-42

Virtual Special Section on Probabilistic Logic Programming 2015

• 
  David Buchman, David Poole:
  Negative probabilities in probabilistic logic programs. 43-59

Virtual Special Section on Advances in Weighted Logics for Artificial Intelligence

• 
  Stefan Borgwardt, Rafael Peñaloza:
  Algorithms for reasoning in very expressive description logics under infinitely valued Gödel semantics. 60-101

Virtual Special Section on Bayesian Nonparametrics

• 
  Stefano Peluso, Antonietta Mira, Pietro Muliere:
  Robust identification of highly persistent interest rate regimes. 102-117

Virtual Special Section on the Ninth International Conference on Scalable Uncertainty Management (SUM 2015)

• 
  Zeinab Bahmani, Leopoldo E. Bertossi, Nikolaos Vasiloglou:
  ERBlox: Combining matching dependencies with machine learning for entity resolution. 118-141

Virtual Special Section on Tri-partition

• 
  Xiaonan Li, Huangjian Yi, Yanhong She, Bingzhen Sun:
  Generalized three-way decision models based on subset evaluation. 142-159

Rough sets

• 
  Chun Yong Wang:
  Topological structures of L-fuzzy rough sets and similarity sets of L-fuzzy relations. 160-175

Aggregation operators

• 
  Andrea Mesiarová-Zemánková:
  Characterization of uninorms with continuous underlying t-norm and t-conorm by means of the ordinal sum construction. 176-192

Virtual Special Section on Bayesian Nonparametrics

• 
  Alessio Benavoli, Antonio Lijoi, Antonietta Mira:
  Introduction to the special issue on Bayesian Nonparametrics. 193-195

Fuzzy reasoning

• 
  Hossein Javedani Sadaei, Frederico Gadelha Guimarães, Cidiney José da Silva, Muhammad Hisyam Lee, Tayyebeh Eslami:
  Short-term load forecasting method based on fuzzy time series, seasonality and long memory process. 196-217

Virtual Special Section on Tri-partition

• 
  Chenchen Huang, Jinhai Li, Changlin Mei, Wei-Zhi Wu:
  Three-way concept learning based on cognitive operators: An information fusion viewpoint. 218-242

Virtual Special Section on the Ninth International Conference on Scalable Uncertainty Management (SUM 2015)

• 
  Elie Merhej, Steven Schockaert, Martine De Cock:
  Repairing inconsistent answer set programs using rules of thumb: A gene regulatory networks case study. 243-264

Fuzzy reasoning

• 
  Sebastia Massanet, Jordi Recasens, Joan Torrens:
  Fuzzy implication functions based on powers of continuous t-norms. 265-279

Virtual Special Section on Ninth International Symposium on Imprecise Probability: Theories and Applications

• 
  Thomas Augustin, Serena Doria, Massimo Marinacci:
  Special Issue: Ninth International Symposium on Imprecise Probability: Theory and Applications (ISIPTA'15). 280

Virtual Special Section on the Ninth International Conference on Scalable Uncertainty Management (SUM 2015)

• 
  Mikelis Bickis:
  Towards a geometry of imprecise inference. 281-297
• 
  Fábio Gagliardi Cozman, Denis Deratani Mauá:
  On the complexity of propositional and relational credal networks. 298-319
• 
  Alessandro Antonucci, Giorgio Corani:
  The multilabel naive credal classifier. 320-336
• 
  Floris Geerts, Fabian Pijcke, Jef Wijsen:
  First-order under-approximations of consistent query answers. 337-355

Virtual Special Section on Tri-partition

• 
  Federico Cabitza, Davide Ciucci, Angela Locoro:
  Exploiting collective knowledge with three-way decision theory: Cases from the questionnaire-based research. 356-370
• 
  Xiaodong Yue, Yufei Chen, Duoqian Miao, Jin Qian:
  Tri-partition neighborhood covering reduction for robust classification. 371-384

Virtual Special Section on Unconventional Computing for Bayesian Inference

• 
  David Colliaux, Pierre Bessière, Jacques Droulez:
  Cell signaling as a probabilistic computer. 385-399
• 
  Alexandre Coninx, Pierre Bessière, Jacques Droulez:
  Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals. 400-412
• 
  Grigorios Mingas, Leonardo Bottolo, Christos-Savvas Bouganis:
  Particle MCMC algorithms and architectures for accelerating inference in state-space models. 413-433
• 
  José-Raúl Ruiz-Sarmiento, Cipriano Galindo, Javier González Jiménez:
  A survey on learning approaches for Undirected Graphical Models. Application to scene object recognition. 434-451