Search Results - "Probabilistic inference"

PROBABILISTIC SCHEDULING BASED ON HYBRID BAYESIAN NETWORK-PROGRAM EVALUATION REVIEW TECHNIQUE.

Authors: Tri Joko Wahyu Adi Rachmawati, Farida Rizky, Safira Yulia

Source: IPTEK The Journal for Technology & Science. 2023, Vol. 34 Issue 2, p108-117. 10p.

Invited Discussion.

Authors: Hennig, Philipp^1,2 ph@tue.mpg.de

Source: Bayesian Analysis. 2019, Vol. 14 Issue 3, p966-976. 11p.

Sensing and monitoring of information diffusion in complex online social networks.

Authors: Vitoropoulou, Margarita Karyotis, Vasileios Papavassiliou, Symeon

Source: Peer-to-Peer Networking & Applications; May2019, Vol. 12 Issue 3, p604-619, 16p

AN ACTIVE EXPLORATION METHOD FOR DATA EFFICIENT REINFORCEMENT LEARNING.

Authors: DONGFANG ZHAO JIAFENG LIU RUI WU et al.

Source: International Journal of Applied Mathematics & Computer Science. 2019, Vol. 29 Issue 2, p351-362. 12p.

A General Methodology for Energy-efficient Scheduling in Multicore Environments Based on Evolutionary Algorithms.

Authors: BANKOVIĆ, ZORANA LIQAT, UMER LÓPEZ-GARCÍA, PEDRO

Source: Journal of Multiple-Valued Logic & Soft Computing; 2019, Vol. 32 Issue 3/4, p313-341, 29p

Bayesian Network Model for Learning Arithmetic Concepts.

Authors: Yali Lv Tong Jing Yuhua Qian et al.

Source: International Journal of Performability Engineering; Mar2019, Vol. 15 Issue 3, p939-948, 10p

Context-Based Path Prediction for Targets with Switching Dynamics.

Authors: Kooij, Julian F. P. Gavrila, Dariu M. Flohr, Fabian et al.

Source: International Journal of Computer Vision; Mar2019, Vol. 127 Issue 3, p239-262, 24p, 5 Diagrams, 5 Charts, 10 Graphs

Feedback law with probabilistic certification for Propofol‐based control of BIS during anesthesia.

Authors: Alamir, Mazen Fiacchini, Mirko Queinnec, Isabelle et al.

Source: International Journal of Robust & Nonlinear Control. Dec2018, Vol. 28 Issue 18, p6254-6266. 13p.

Multi-modal multi-layered topic classification model for social event analysis.

Authors: Chen, Y. H. Yin, C. Y. Lin, Y. J. et al.

Source: Multimedia Tools & Applications; Sep2018, Vol. 77 Issue 18, p23291-23315, 25p

Probabilistic evolution theory for explicit autonomous ordinary differential equations: recursion of squarified telescope matrices and optimal space extension.

Authors: Gözükırmızı, Coşar Demiralp, Metin

Source: Journal of Mathematical Chemistry. Aug2018, Vol. 56 Issue 7, p1826-1848. 23p.

Energy Efficient Event Detection Using Probabilistic Inference in Wireless Sensor Networks.

Authors: Singh, Vishal Krishna Verma, Rahul Kumar, Manish

Source: IETE Journal of Research. Nov2017, Vol. 63 Issue 6, p834-844. 11p.

Subjects: Wireless sensor networks, Probabilistic inference, Energy consumption, Data transmission systems, Markov random fields

Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction.

Authors: Daee, Pedram Peltola, Tomi Soare, Marta et al.

Source: Machine Learning. Sep/Oct2017, Vol. 106 Issue 9-10, p1599-1620. 22p.

Subjects: Probabilistic inference, Bayesian analysis, Human-machine systems, Machine learning, Sparse approximations

Probabilistic spatial prediction of categorical data using elliptical copulas.

Authors: Huang, Xiang Wang, Zhizhong

Source: Stochastic Environmental Research & Risk Assessment. Jun2018, Vol. 32 Issue 6, p1631-1644. 14p.

Subjects: Probabilistic inference, Spatial data infrastructures, Mathematical category theory, Copula functions, Gaussian distribution

A heuristic probabilistic approach to estimating size-dependent mobility of nonuniform sediment.

Authors: Woldegiorgis, Befekadu Taddesse Bauwens, Willy Van Griensven, Ann et al.

Source: Stochastic Environmental Research & Risk Assessment. Jun2018, Vol. 32 Issue 6, p1771-1782. 12p.

Subjects: Heuristic, Probabilistic inference, Non-uniform flows (Fluid dynamics), Sediments, Particle size distribution, Atmospheric circulation

A family of admissible heuristics for A* to perform inference in probabilistic classifier chains.

Authors: Mena, Deiner Montañés, Elena Quevedo, José et al.

Source: Machine Learning. Jan2017, Vol. 106 Issue 1, p143-169. 27p.

Subjects: Heuristic, Probabilistic inference, Monte Carlo method, Algorithms, Parameters (Statistics)

Improving probabilistic inference in graphical models with determinism and cycles.

Authors: Ibrahim, Mohamed-Hamza Pal, Christopher Pesant, Gilles

Source: Machine Learning. Jan2017, Vol. 106 Issue 1, p1-54. 54p.

Subjects: Probabilistic inference, Determinism (Physics), Graphic methods, Algorithms, Constraint programming, Gibbs sampling

Probabilistic inference for determining options in reinforcement learning.

Authors: Daniel, Christian van Hoof, Herke Peters, Jan et al.

Source: Machine Learning. Sep2016, Vol. 104 Issue 2-3, p337-357. 21p.

Subjects: Probabilistic inference, Reinforcement learning, Machine learning, Partially observable Markov decision processes, Algorithms

Sparse Output Coding for Scalable Visual Recognition.

Authors: Zhao, Bin Xing, Eric

Source: International Journal of Computer Vision. Aug2016, Vol. 119 Issue 1, p60-75. 16p.

Subjects: Object recognition (Computer vision), Probabilistic inference, Decoding algorithms, Computer programming, Empirical research

On the problem of probabilistic optimization of time-limited testing.

Authors: Naumov, A. Mkhitaryan, G.

Source: Automation & Remote Control. Sep2016, Vol. 77 Issue 9, p1612-1621. 10p.

Subjects: Probabilistic inference, Algorithms, Stochastic programming, Linear programming, Automatic control systems

Mean Time To System Failure Assessment Of A Single Unit System Requiring Two Types Of Supporting Device For Operation.

Authors: Fagge, Nura Jibrin Ali, U. A. Yusuf, Ibrahim

Source: Reliability: Theory & Applications. Sep2016, Vol. 11 Issue 3, p55-61. 7p. 4 Graphs.

Subjects: Systems availability, Probabilistic inference