Results 81 to 90 of about 20,022 (282)

The use of probabilistic graphical models in pediatric sepsis: a feasibility and scoping review. [PDF]

Transl Pediatr, 2023
Nguyen TM, Poh KL, Chong SL, Loh SW, Heng YCK, Lee JH.   +5 more
europepmc   +1 more source

Inverse Graphics with Probabilistic CAD Models

CoRR, 2014
For correspondence, contact tejask@mit ...
Tejas D. Kulkarni, Vikash K. Mansinghka, Pushmeet Kohli, Joshua B. Tenenbaum   +3 more
openaire   +2 more sources

Swelling‐Programmed Topographical Guidance for Dynamic Spheroid Self‐Assembly via a Mechanochemical Hydrogel Niche

Advanced Functional Materials, EarlyView.
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam, Seon Yeong Chae, Young Woo Kwon, Hye Jin Heo, Hye Rin Lee, Ji Hyeok Lee, Dong‐Wook Han, Yun Hak Kim, Suck Won Hong   +8 more
wiley   +1 more source

Mastering probabilistic graphical models using Python

, 2015
If you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian learning or probabilistic graphical models, this book will help you to understand the details of graphical models and use
Panda, Abinash, Ankan, Ankur
core  

Benchpress: A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models

Journal of Statistical Software
Describing the relationship between the variables in a study domain and modeling the data generating mechanism is a fundamental problem in many empirical sciences. Probabilistic graphical models are one common approach to tackle the problem. Learning the
Felix L. Rios, Giusi Moffa, Jack Kuipers
doaj   +1 more source

Sensor Fusion for Fault Detection & Classification in Distributed Physical Processes

Frontiers in Robotics and AI, 2014
This paper proposes a feature extraction and fusion methodology to perform fault detection & classification in distributedphysical processes generating heterogeneous data.
Soumalya eSarkar, Soumik eSarkar, Nurali eVirani, Asok eRay, Murat eYasar   +4 more
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Probabilistic Graphical Models for Medical Image Segmentation

, 2015
Image segmentation constitutes one of the elementary tasks in computer vision. Various variations exists, one of them being the segmentation of layers that entail a natural ordering constraint.
Rathke, Fabian
core   +1 more source

Shaping Matter with Acoustic Waves: From Particles to Functional Structures

Advanced Functional Materials, EarlyView.
Acoustic‐directed assembly is reviewed as a materials‐oriented strategy for organizing particles, polymers, metals, and biological systems into functional structures. The review distinguishes reversible manipulation from permanent structure formation through medium fixation, particle fixation, and in situ material generation, highlighting routes toward
Avraham Kenigsberg, Shelly Zlotnikov, Maya Fiorentino, Yuval Elias, Ornit Nagler‐Avramovitz, Hagay Shpaisman   +5 more
wiley   +1 more source

Self‐Organized Multitarget Pursuit in Multi‐Unmanned Aerial Vehicle Systems via Hierarchical Probabilistic Graphical Models

Advanced Intelligent Systems
The cooperation of multiple unmanned aerial vehicle (multi‐UAV) systems in adversarial and uncertain environments, particularly for multitarget pursuit, has gained significant attention.
Yixin Huang, Xiaojia Xiang, Chao Yan, Heda Xu, Tianjiang Hu, Han Zhou   +5 more
doaj   +1 more source