Markov process

Nowadays, many applications uses speech recognition especially the field of computer science and electronics, Speech Recognition (SR) is the interpretation of words spoken into a text. It is also known as Speech-To-Text (STT) or Automatic-Speech-Recognition(ASR), or just Word-Recognition(WR). The HiddenMarkov-Model (HMM) is a type of Markov model, which means that the future state of the model depends on the current state, not on the entire history of the system and the goal of HMM is to learn a sequence of hidden states from a set of known states.

5p viritesh 02-04-2024 4 1   Download

Knowing the activity of the mutational processes shaping a cancer genome may provide insight into tumorigenesis and personalized therapy. It is thus important to characterize the signatures of active mutational processes in patients from their patterns of single base substitutions.

12p vibransone 28-03-2024 9 2   Download

Nghiên cứu này nhằm tích hợp chuỗi Markov, mạng tự động (CA) và phương pháp phân tích thứ bậc (Analytic Hierarchy Process - AHP) và để nghiên cứu và dự báo xu hướng biến động lớp phủ sử dụng đất (Land Use Land Cover - LULC) trên địa bàn huyện Văn Yên, tỉnh Yên Bái đến năm 2030.

8p visergey 14-03-2024 5 1   Download

Ebook "Classical and spatial stochastic processes: With applications to biology (Second edition)" presents the concepts and applications of random processes with the same illuminating simplicity as its first edition, but with the notable addition of substantial modern material on biological modeling. While still treating many important problems in fields such as engineering and mathematical physics, the book also focuses on the highly relevant topics of cancerous mutations, influenza evolution, drug resistance, and immune response.

271p manmanthanhla0201 26-02-2024 4 1   Download

In ebook "Open quantum systems: An introduction" the fundamental theory of open quantum systems is revised in the light of modern developments in the field. A unified approach to the quantum evolution of open systems is presented by merging concepts and methods traditionally employed by different communities, such as quantum optics, condensed matter, chemical physics and mathematical physics.

103p tachieuhoa 28-01-2024 3 2   Download

Continued part 1, part 2 of ebook "Probability theory" provides readers with contents including: properties of the trajectories of random walks zero-one laws; random walks and factorisation identities; sequences of dependent trials markov chains; information and entropy; stationary sequences; stochastic recursive sequences; continuous time random processes; processes with independent increments; functional limit theorems;...

409p hanlinhchi 29-08-2023 6 3   Download

In particular, the drift coefficient blows up at 0. We first prove that this equation has a unique positive solution, and then propose a semi-implicit Euler approximation scheme for the equation, and finally show that it is also positive, and study its rate of convergence.

14p viberkshire 09-08-2023 6 3   Download

Continued part 1, part 2 of ebook "Basic concepts in computational physics (Second edition)" has presents the following content: stochastic methods; pseudo-random number generators; random sampling methods; a brief introduction to monte-carlo methods; the ising model; some basics of stochastic processes; the random walk and diffusion theory; markov-chain monte carlo and the potts model; data analysis; stochastic optimization; the two-body problem;...

221p dieptieuung 20-07-2023 9 3   Download

Ebook Introduction to operations research (Ninth edition): Part 2 includes the following content: Chapter 12 nonlinear programming, chapter 13 metaheuristics, chapter 14 game theory, chapter 15 decision analysis, chapter 16 markov chains, chapter 17 queueing theory, chapter 18 inventory theory, chapter 19 markov decision processes, chapter 20 simulation.

513p haojiubujain01 24-06-2023 10 4   Download

Convolutional Neural Network (CNN) can detect images from cameras installed on self-driving cars. First, we drove a car on a simulator and recorded frames from three cameras: left, right, and center. These frames were recorded at the rate of 30 frames per second. Additional data recorded were the distribution of steering angles, average velocity, etc. were passed through a CNN to train a self-driving system.

7p vifalcon 18-05-2023 7 5   Download

Undirected graphical models or Markov random fields have been a popular class of models for representing conditional dependence relationships between nodes. In particular, Markov networks help us to understand complex interactions between genes in biological processes of a cell.

10p vinarcissa 21-03-2023 5 1   Download

The changing climate is altering timing of key fruit ripening processes and increasing the occurrence of fruit defects. To improve our understanding of the genetic control of raspberry fruit development an enhanced genetic linkage map was developed and used to examine ripening phenotypic data.

24p vihagrid 30-01-2023 6 4   Download

Information retrieval techniques: Lecture 37. The main topics covered in this chapter include: markov chains; ergodic markov chains; markov chain with teleporting; query processing; personalized pagerank;... Please refer to the content of document.

14p tieuvulinhhoa 22-09-2022 24 4   Download

Part 1 of book "Speech and Language Processing: An introduction to natural language processing" provide with knowledge about: regular expressions and automata; words and transducers; N-grams; word classes and part-of-speech tagging; hidden markov and maximum entropy models; phonetics; speech synthesis; automatic speech recognition; speech recognition: advanced topics;...

509p britaikridanik 06-07-2022 35 3   Download

Alternative splicing is a biological process during gene expression that allows a single gene to code for multiple proteins. However, splicing patterns can be altered in some conditions or diseases. Here, we present BANDITS, a R/Bioconductor package to perform differential splicing, at both gene and transcript level, based on RNA-seq data.

13p viarchimedes 26-01-2022 12 0   Download

This paper presents the Dreaming Variational Autoencoder (DVAE) for safely learning good policies with a significantly lower risk of catastrophes occurring during training. The algorithm combines variational autoencoders, risk-directed exploration, and curiosity to train deep-q networks inside ”dream” states.

18p guernsey 28-12-2021 11 0   Download

Lecture Introduction to Stochastic Processes: Lesson 1 provide students with knowledge about Homogeneous Poisson process on the positive real numbers; Discrete Markov chains with countable state space; classification of states - recurrence, transience, periodicity; stationary distributions, reversible chains; several illustrations;...

8p bachnhuocdong 23-12-2021 15 0   Download

Lecture Introduction to Stochastic Processes: Lesson 9 provide students with knowledge about discrete parameter Markov chain on a countable state space, simple random walk on integers, mathematical description, transition probabilities, define a stochastic process with initial distribution,...

12p bachnhuocdong 23-12-2021 10 0   Download

Lecture Introduction to Stochastic Processes: Lesson 10 provide students with knowledge about proof of (MC) ⇒ (MP), Markov chain, discrete parameter stochastic process, time-homogeneous Markov chain, the Markov property, a trivial example: an iid sequence, the deterministically monotone Markov chain,...

12p bachnhuocdong 23-12-2021 10 0   Download

Lecture Introduction to Stochastic Processes: Lesson 12 provide students with knowledge about Chapman-Kolmogorov equation, decomposition of state space, hitting time, a very useful criterion for accessibility, deterministically monotone Markov chain,...

15p bachnhuocdong 23-12-2021 12 0   Download