Gmmemplois

...(GBM) 6. K-Nearest Neighbors (KNN) 7. Naive Bayes 1. Linear Regression 2. Polynomial Regression 3. Ridge Regression 4. Lasso Regression 5. Elastic Net Regression 6. Support Vector Regression (SVR) 7. Decision Tree Regression 1. K-Means Clustering 2. Hierarchical Clustering 3. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) 4. Mean Shift Clustering 5. Gaussian Mixture Models (GMM) 6. Agglomerative Clustering 7. OPTICS (Ordering Points To Identify the Clustering Structure) Looking forward to seeing your proposals!...

...it useable. • Develop a plan as to which artificial intelligence techniques you might use and what sorts of potential observations these can lead to, and how you will evaluate these. You must use models, these are: perceptron, decision trees, linear regression, support vector machines, random forest, k-nearest neighbour, naïve Bayes, neural networks as well as unsupervised techniques k-means and GMM, and principal component analysis. Most supervised models have both classification and regression variants. You are encouraged to work with neural networks. An additional technique from outside the taught module content might be applied for comparison purposes, if this is done it should be clearly indicated and well justified. • Split your dataset (train/validate/test, ...

We need to understand the derivations using video escape velocity √2GMr potential energy -GMm/r Centripetal force Mechanical energy is sum of K.E and P.E. What is the basic meaning of this term? Another question - What is the basis meaning when we say potential energy increases leads to decrease in kinetic energy and decrease in potential energy leads to increase in kinetic energy

Objective: The primary goal of this project is to implement Convolutional Neural Networks (CNN) for pre-processing in an existing MATLAB code. This code is based on a Gaussian Mixture Model (GMM) as described in the source paper. Tasks: Review the existing MATLAB code and the source paper: Familiarize yourself with the current implementation and the scientific background. Implement CNN for Pre-Processing: Modify the existing MATLAB code to include CNN-based pre-processing. Classification and Comparison: After implementing CNN, run the classification and compare the results with the current version of the code. Deliverables: Send me the modified MATLAB code along with the classification results. Future Work: This is an initial phase of a larger project. If this task is successful...

I have implemented some GMM , SVM , DL , CNN models for speaker identification tasks and now I am planning to implement ecapa-tdnn for the same task. Will prove the ipynb file and you have to check the implemented models to improve the accuracy and implement ecapa-tdnn. Any newer idea can be discussed . let me know how much you charge for this?

Greetings, I've developed code for the classification and recogni... I've developed code for the classification and recognition of two primary speakers based on MFCC and GFCC audion features and using GMM, SVM, CNN, and DNN models. While the project's code is finished, the achieved accuracy is unsatisfactory and necessitates refinement. Consequently, I am seeking assistance from someone capable of enhancing the accuracy of real-time experimentation. Additionally, I require support in visualizing the outputs of each model and conducting a comparative analysis of their results. Kindly refrain from reaching out to propose a complete code overhaul, as I will not entertain such offers. Moreover, if you lack familiarity with GMM, SVM, CNN, and DNN, kindly refrain fr...

Job Title: Panel Data Analyst Job Description: I am seeking a skilled and experienced Panel Data Analyst to join my team. As a Panel Data Analyst, you will be responsible for cleaning and analyzing panel data to derive meaningful insights and support data-driven decision-making processes. The ideal candidate will have a strong background in panel data analysis, statistical modeling, and data ...exploratory data analysis to identify patterns, trends, and outliers. - Apply statistical techniques and econometric models to analyze panel data Requirements: - Strong knowledge of panel data analysis techniques and experience - Proficiency in R or Stata software for data manipulation and analysis. - Familiarity with statistical modeling techniques, such as fixed effects, random effects, and ...

Hi, I need a freelancer who can work on a project that involves analyzing single cell RNA-sequence data with Python. On 2 datasets, one labeled and unlabeled, along with writing of a report of the observations/results. Specifically, I need to do the following on the two datasets: Kmeans-> PCA, K-PCA, T-SNE, UMAP, ISOMAP, LLE GMM-> PCA, K-PCA, T-SNE, UMAP, ISOMAP, LLE labeled dataset: Evaluation: normalized mutual information (NMI) and adjusted rand index (ARI) Unlabeled dataset: Silhouette coefficient Along with the code in Python, I need a report which writes the observations (results + paragraphs, comparing each results).

images data ( such as face recognition ) or audio signal such as ( voice ) data needs to be clustering to different groups using GMM

-Generalised Method of Moments (GMM) -Data coding will be used for the transformation of nominal data into statistical data. Descriptive statistics for the variables will be tabulated into means for the sample, standard deviation, mode, minimum and maximum values -Diagnostic tests were applied to the above model before it was estimated. The Hausman (1978) test will be performed to decide on the most suitable estimation technique between the Fixed-Effect model and the Random-Effects estimation techniques will be used because the General Method of Moments uses all possible instruments that include Least Squares Dummy Variable (LSDV) corrected for Kiviet bias (Kiviet, 1995), the Generalized Least Squares (GLS) primarily as a means for rigorous testing (robustness). The data will

Proyecto solo para personas de habla hispana!!!!!!!!!!! El proyecto consiste realizar la estimación de modelos de panel de datos dinámico empleando estimadores GMM y Arellano Bond, además, es necesario realizar estimaciones complementarias de Modelos de panel de datos estáticos. Demás análisis complementarios propios de la estimación e interpretación de resultados como tests de raíz unitaria aplicados a panel de datos y modelos de evaluación de impacto. El objetivo es replicar la metodología del paper adjunto. Por favor, si no conoces sobre técnicas econométricas, especialmente panel datos, NO ENVIES TU PROPUESTA!! si no hablas español, NO ENVIES TU PROPUESTA! si no conoces R/Python,...

Hi El Houssin O! I need some help with a data panel analysis in R. I have a complete, unbalanced panel data csv, and I'd like to apply the Arellano&Bond GMM estimation strategy to it. The problem I'm researching is the following, but applied to Brazil's data. I'm flexible on the budget, but first I'd like to understand what you are able and willing to do. Thanks!

I need someone to do econometrical analysis (ols,gmm) to a dataset that i will provide.I need econometrics experts with experience in corporate governance and accounting/finance , experience in quality research papers is of the essence. Moreover, I will provide detail instructions regarding the models that need to be run. however, I appreciate initiatives on your behalf. You are the expert after all and if corrections need to be done please feel free to do so.

Please see attached file GMM-1 , you have to design a keypad with 4 keys (on/off, up, down, enter ) . Title of the keypad is GRAIN MOISTURE METER For dimensions please refer GMM-2 dimensions file. You have to design a graphic . The attached files are for dimensions , contest is for a graphic design

I need help with two tasks. One is GMM-related and another one about Monte Carlo

I am using the sklearn GaussianMixture library. I got my GMM which is working fine, now I would like to sample from it. According to the docs I can use the (n) function to get n samples. This works, however I would like to sample, based on the fit probability, from a certain range of of values, not all the values. To be precise, I want to be able to split the cumulative probability function into k equally probable ranges, like in the attached picture. Meaning, I want to sample from range 5 (0.57~ to 0.71~ in the picture). if it's possible to get this directly from the GMM package, then even better. I created a function that takes a list of values and the binsize as input and returns the cdf values (cumulative prob and respective values), as well as the plots. So I...

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Hi El Houssin O., I have seen your video on youtube about the GMM Method in R and it was really intresting. Some of the context i have not understand fully and because i need to do an analysis some help would be appreachiated. As you might noticed i have send you an email earlyer because i did not seen this website for freelancer. What i could use is a introduction in R especially in the GMM method and then some help with my statistics. If that would be possible in near time that would be good.

...number of parameters) that has significant parameters but that also provides a very good fit to the data. The model with superior AIC and BIC goodness-of-fit is preferred For the GBM model, after discretizing at monthly frequency, we use three methods to estimate the parameters from historical data, the maximum likelihood estimation (MLE), method of moments (MM) and generalised method of moments (GMM). There could be other ARMA-GARCH type models that may provide a better fit than the model we have identified. Forecasting : house price prediction must have good prediction power atleast short and medium horizon. Report some measure of accuracy RMSE, MAE nd the Diebold-Mariano test (for comparing GBM model under different estimation methods with the selected ARMA-EGARCH model, base...

i am looking for a guy who can do a matlab project for me related to speaker recognition (DSP domain). a dataset of speaker voices will be provided by me from which developer needs to extract features using MFCC and apply GMM (Gaussian Mixture Model) for recognition and other tasks.

need to answer my quesstions. Will be selected for 2 projects then

will be chosen by competition

hey i want to hire a freelancer who know R analysis ,have much knowledge on GMM,

I have to run GMM regression for my data. R programming or Stata are fine.

Perform Image processing using GMM-EM method and make a confusion matrix related to it

Introduction to Pattern Recognition to Stochastic Methods and problems solving that include Bayesian Decision Theory, MLE, MAP, EM Algorithm for GMM and Non Parametric Methods.

Introduction to Pattern Recognition to Stochastic Methods and problems solving that include Bayesian Decision Theory, MLE, MAP, EM Algorithm for GMM and Non Parametric Methods.

The work has two parts. In the first part, you will have Recall Questions that are from 1. Introduction to Pattern Recognition to Stochastic Methods. The second part, are problems solving that include Bayesian Decision Theory, MLE, MAP, EM Algorithm for GMM and Non Parametric Methods. there will be no problem solving in HMM, Neural Networks, Stochastic Methods, Bayesian Networks, and you will not have any problem about finding integral limits like the Problem 2 of Assignment 1.(that will be shared in chat)

Looking for someone who is good at mathematics and statistics. Topics include Bayesian Decision Theory, MLE, MAP, EM Algorithm for GMM and Non Parametric Methods.

Kmenas++ clustering, GMM and PCA. You’ll be givens skeleton of code. You need to implement roughly 20 small function in order to implement these algorithms.

-Describa en forma breve el modelo GMM para que lo entienda una persona sin conocimiento en el tema de la ingeniería. -Seleccione y modifique, justificadamente, las variables pertinentes, y determine el mejor número de clusters que se puede obtener utilizando el método GMM. -Además, analice los clusters generados y determine si existe algún cluster relevante. Codigo necesario en R Todo esto a partir de una data de 100000 asteroides con 27 variables, no puedo subir la data ya que pesa mas de 21 mb

Tasks: 1. Run the results of the Shefrin (2014) paper using Fama-Macbeth regression and GMM through python, explain the equivalence of these two methods, and ensure that the running results are consistent with the results shown in the original paper ; 2. Add Mamaysky's news sentiment variable to the model in the above paper, and observe the explanatory power of the variable to the model

In the project, I have the 6 trials of the data (Trajectory (X, Y, Z-axis)). On this data I want to implement the DTW (to remove the temporal distortion), then K-means (clustering the data), then using the Mean and covariances of the K-means as the initial values for the Expectation-Maximization (EM algorithm), which learns a GMM from the data. The output of the GMM (sub-population means and covariances which constitutes the model of the task. Given a time vector, as an input, Gaussian Mixture Regression (GMR) is used on this model to extract the set of corresponding trajectory (X, Y, Z)

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I need to test my research data for the endogeniety problem. I have done all the work of the regression test and I want to test the endogenous factors using 2SLS, GMM or PSM match score.

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Topic should be related to economics, best would be about Europe Union and shadow economy. Work should be done with Gretl program. –Calculations must be based on panel or time series data using Pooled OLS, FD, FE, RE, (S)GMM, ADL, ECM, VAR, VECM models. –Data analysis written report form in not more than 6 pages of plain tex.

I am looking for a scientific writer or science journalist who can creatively write a science story for a science news website. I will provide the main research paper and some supplementary documents. We will discuss the main points to be covered in private chat. Please bid only if: -You are a native Arabic or English speak...chat. Please bid only if: -You are a native Arabic or English speaker -You have previous experience in writing news stories -You hold a degree in biological sciences-related degree or science journalism The output is required in two formats: - A science story to be posted on a news website - A script about the same story to be used in an animated video ( summary from the first file) Please write "GMM" at the beginning of your bid so I know you have ...

This project is to use Python and Mozilla’s DeepSpeech ASR (automatic speech recognition) engine on different platforms (such as ...process by which orthographic transcriptions are aligned to audio recordings to automatically generate phone level segmentation. As described at the following link：。 When developing an ASR system, “good initial estimates … are essential” when training Gaussian Mixture Model (GMM) parameters (Rabiner and Juang, 1993, p. 370). Phoneme location information is also critical when building concatenative text-to-speech systems. 7. Implement CTC decoder as an important optimization: integrating appropriate language model into the decoder.

...process by which orthographic transcriptions are aligned to audio recordings to automatically generate phone level segmentation. As described at the following link：。 When developing an ASR system, “good initial estimates … are essential” when training Gaussian Mixture Model (GMM) parameters (Rabiner and Juang, 1993, p. 370). Phoneme location information is also critical when building concatenative text-to-speech systems. 7. Implement CTC decoder as an important optimization: integrating appropriate language model into the decoder. Please see attached word file, especially the articles and video attached, for the details of the project and we can discuss work requirement

Hello fastlabindia, I checked your profile and i need your support for one task. My request is : Development of Matlab and C Code of GMM algorithm for background substraction according to below paper : Stauffer C, Grimson W. Adaptive background mixture models for real-time tracking. Proc IEEE Conf on Comp Vision and Patt Recog (CVPR 1999) 1999; 246-252. Both C and Matlab Code should manage : -Input of Video ( RGB frame ) or Grayscale -output Forerground Frame Could you confirm if you accept this offer ?

using provided dataset to do speaker recognition by using DNN and GMM UBM. Will provide reference paper and audio dataset. Deadline: 1/26 Price: 2k+

in my python project where i estimate values of unknown variables, i would like to use the so called GMM method (Generalized Method of Moments) instead of the scipy.optimize.minimize. so i want to add this function to my code and compare its results with the one. However, in contrast to R, the ‘gmm’ function is not implemented yet in Python. i also found the following online links that may help with implementing the GMM in Pyhton. therefore i am looking for someone who can help by implementing the GMM in my existing Code! online links:

I looking for Python, deep learning, MFCC/UBM-GMM Developer to build Voice authentication( with vocal passphrase) Rest API from github project sources code. Best regards

Hello designers Thanks in advanced to participate in this contest. GMM Technology will be a Technology based blogging site. Our website will be www.gmmtechnology.com. We are looking for a stunning logo for this site. Business Type: Technology Based Blog Color: As you wish but related to technology. Not more then two color. Slogan: No Need Logo Type: Icon with Typography. Note: We want this design to be clear, concise, powerful, elegant and sophisticated all at the same time. Wish you all the best. Best regards Nuruddin Ahmed

DATA SCIENCE HELP NEEDED: I have some data (I don't have a lot, so I'm not sure if RNNs with LSTM are the way to go here) I'd like to analyze, but I'm not sure how to do it in practice. I understand the theory and I have a couple of ideas, but I'm looking for someone to bounce ideas off of and to help me with the modelling. I'm hoping to use a Gaussian Mixture Hidden Markov model in Python to analyze data that seems to follow a "grammar". I'm hoping that through the modelling, I can either arrive at some form of prediction or discover the grammar that is hidden within the data. I'll tell you more if you think you can help.

I want to investigate the effect of exchange rate volatility on FDI using a GMM model and panel technique for cross country data. I'm looking for someone can help in statistical analysis and familiar with E-views . I want to follow the attached paper regarding empirical work.

Hey, I need a person who can complete a dynamic panel data test, I created an excel sheet which perfectly matches with Stata (if you like you can use Gretl or Eviews too), There are 4 countries (which are shown below ID), 6 independent variables and 1 dependent variable (centr...Eviews too), There are 4 countries (which are shown below ID), 6 independent variables and 1 dependent variable (central bank independence), Firstly, you must carried out Levin Lin Chu, then you must make the variables stationary when needed, After that, I need you to complete Arellano and Bond GMM, You must send me all the process step by step as a table. For example different table for Levin Lin Chu, a different table for non-stationary variables, a different table for Arellano and Bond GMM, ...

Hi, I have a panel dataset for the period 2000-2016. The dataset contains around 20 economic variables for 20 countries. Following deliverables are required: 1) Conduct two step system Generalized Method of Moments (GMM) regression and show robust results in a way that variance is minimized 2) Handle issues of autocorrelation, hetrescedasticity 3) Introduce time/ country variables The dataset

i need a very fast and skillful expert in machine learning with good knowledge in python and mathematics to assist in creating an algorithm from scratch for online variation learning using GMM..more details to follow when you bid...Only serious freelancers should bid...