Results 101 to 110 of about 21,998,513 (385)

Genomic characterization reveals distinct mutation landscapes and therapeutic implications in neuroendocrine carcinomas of the gastrointestinal tract

open access: yesCancer Communications, Volume 42, Issue 12, Page 1367-1386, December 2022., 2022
Abstract Background Neuroendocrine carcinomas of the gastrointestinal tract (GI‐NECs) remain a disease of grim prognosis with limited therapeutic options. Their molecular characteristics are still undefined. This study aimed to explore the underlying genetic basis and heterogeneity of GI‐NECs.
Huanwen Wu   +13 more
wiley   +1 more source

Partially-Hidden Markov Models [PDF]

open access: yes, 2012
This paper addresses the problem of Hidden Markov Models (HMM) training and inference when the training data are composed of feature vectors plus uncertain and imprecise labels. The "soft" labels represent partial knowledge about the possible states at each time step and the "softness" is encoded by belief functions.
Ramasso, Emmanuel   +2 more
openaire   +7 more sources

Logical Hidden Markov Models [PDF]

open access: yesJournal of Artificial Intelligence Research, 2006
Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characters. This note formally introduces LOHMMs and presents solutions to the three central inference problems for LOHMMs: evaluation, most likely hidden state sequence and ...
Kersting, K., De Raedt, Luc, Raiko, T.
openaire   +5 more sources

A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search

open access: yesAdvanced Science, EarlyView.
Pareto Monte Carlo Tree Search Molecular Generation (PMMG), a molecular generation approach leveraging Monte Carlo Tree Search (MCTS) and Pareto algorithm, efficiently explores the Pareto front in high‐dimensional objective spaces for multi‐objective drug design.
Yifei Liu   +12 more
wiley   +1 more source

Impact of Human Error Modeling on Failure Rate and Optimum Routine Test Interval of Protection System

open access: yesIranian Journal of Electrical and Electronic Engineering, 2021
Power systems should have acceptable reliability in order to operate properly. Highly available and dependable protective relays help to obtain the desirable reliability.
A. Mirsamadi, Y. Damchi, M. Assili
doaj  

Model-based cost-effectiveness analysis of atorvastatin drugs for prevention of cardiovascular diseases in Iran

open access: yesInternational Journal of Preventive Medicine, 2020
Background: Today, cardiovascular disease is one of the main causes of mortality and disability in most developed and developing countries. The prediction of the major causes of deaths all over the world at all ages shows that 61% of deaths are due to ...
Alireza Jabbari   +3 more
doaj   +1 more source

Spectrum Sensing Using a Hidden Bivariate Markov Model

open access: yesIEEE Transactions on Wireless Communications, 2013
A new statistical model, in the form of a hidden bivariate Markov chain observed through a Gaussian channel, is developed and applied to spectrum sensing for cognitive radio. We focus on temporal spectrum sensing in a single narrowband channel in which a
Thao T. Nguyen, B. L. Mark, Y. Ephraim
semanticscholar   +1 more source

Markov Functional Market Model nd Standard Market Model [PDF]

open access: yes, 2008
The introduction of so called Market Models (BGM) in 1990s has developed the world of interest rate modelling into a fresh period. The obvious advantages of the market model have generated a vast amount of research on the market model and recently a new ...
Sun, Tiantang
core  

Parallelization of Markov chain generation and its application to the multicanonical method

open access: yes, 2009
We develop a simple algorithm to parallelize generation processes of Markov chains. In this algorithm, multiple Markov chains are generated in parallel and jointed together to make a longer Markov chain.
Berg B. A.   +13 more
core   +1 more source

Hidden Markov Modeling with HMMTeacher

open access: yesPLOS Computational Biology, 2022
Is it possible to learn and create a first Hidden Markov Model (HMM) without programming skills or understanding the algorithms in detail? In this concise tutorial, we present the HMM through the 2 general questions it was initially developed to answer and describe its elements.
Camilo Fuentes-Beals   +2 more
openaire   +4 more sources

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