Results 51 to 60 of about 8,467,026 (293)

Inferenza statistica per Hidden Markov Models [PDF]

, 2022
L’oggetto di questa tesi consiste nello studio degli Hidden Markov Models, processi doppiamente stocastici che possono essere definiti in diversi modi ma tutti con la caratteristica comune di presentare un processo di Markov a cui non si può accedere ...
Ruzza, Marco
core  

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

Hidden Markov models for stochastic thermodynamics

New Journal of Physics, 2015
The formalism of state estimation and hidden Markov models can simplify and clarify the discussion of stochastic thermodynamics in the presence of feedback and measurement errors.
John Bechhoefer
doaj   +1 more source

ReLink: Reliable Deep Learning for Microscopic Motion Tracking

Advanced Science, EarlyView.
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang, Xiaochen Feng, Hongda Wei, Hao Sha, Hongpeng Wang, Min Zhang, Sanyang Han, Yongbing Zhang   +7 more
wiley   +1 more source

Map representation using hidden markov models for mobile robot localization

MATEC Web of Conferences, 2018
This paper describes a map representation and localization system for a mobile robot based on Hidden Markov Models. These models are used not only to find a region where a mobile robot is, but also they find the orientation that it has.
Savage Jesus, Fuentes Oscar, Contreras Luis, Negrete Marco   +3 more
doaj   +1 more source

Hidden Markov Model Cryptanalysis [PDF]

, 2003
We present HMM attacks, a new type of cryptanalysis based on modeling randomized side channel countermeasures as Hidden Markov Models (HMM’s). We also introduce Input Driven Hidden Markov Models (IDHMM’s), a generalization of HMM’s that provides a powerful and unified cryptanalytic framework for analyzing countermeasures whose operational behavior can ...
Chris Karlof, David A. Wagner 0001
openaire   +1 more source

Utile distinction hidden Markov models [PDF]

Twenty-first international conference on Machine learning - ICML '04, 2004
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Partially Observable Markov Decision Processes. We present a novel approach that uses a modification of the well-known Baum-Welch algorithm for learning a Hidden Markov Model (HMM)
Wierstra, D., Wiering, M.A.
openaire   +4 more sources

Chip‐Level Voltage Controlled Magnetic p‐Bits Array with Variation Compensation for Stochastic Neural Network Computation

Advanced Science, EarlyView.
A chip‐level VCMA‐MTJ array is demonstrated for stochastic neural‐network computing. Combined with a tail‐truncation strategy to compensate for device‐to‐device variations, it establishes a hardware–software co‐design approach for scalable probabilistic computing.
Jiachen Bao, Songsong Li, Ruizhi Ren, Zheng Zhu, Di Wu, Jiayong Wang, Minggao Zuo, Mingke Li, Duanzihua Cheng, Jianyu Lv, Lintong Zou, Chuyue Liu, Wangyang Hu, Yi Cao, Yuesheng Li, Guanghua Yu   +15 more
wiley   +1 more source

Hidden Markov models and neural networks in formation of investment portfolio

Учёные записки Казанского университета: Серия Физико-математические науки, 2018
Common mathematical models are used by investors for prediction of the future state of the financial market lose if the macroeconomic situation gets worse.
P.A. Novikov, R.R. Valiev
doaj  

Prediction Using Markov Model and Hidden Markov Model for the States of Banknotes [PDF]

Alfarama Journal of Basic & Applied Sciences
This study aims to solve the problem of identifying the values of banknotes, and whether if they are fake or not. This problem considered one of the topics that many researchers are interested in the field of detecting banknotes values and determining ...
Mosaad Hendam, Khaled Mahfouz, Mohamed Genedi   +2 more
doaj   +1 more source