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    1,340 svm classifier matlab code download δουλειές που βρέθηκαν, με τιμές EUR
    python project (GUI) 5 μέρες left
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    You are going to build a classifier that will try to estimate the session of the papers presented in in the 13th International Conference on Machine Learning and Applications (ICMLA 2014). You are going to use portion of the available data in for training your classifier, and the remaining part for testing its estimation performance. More specifically

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    I need you to fix the weak accuracy problem of my current network anomaly detection system which uses machine learning algorithm (SVM) to detect network packets with anomalies. Good knowledge of network programming and machine learning are necessary.

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    I am designing an application interacting with Myo Armband(gesture-based d...with 5 predefined poses but my application requires 4 more poses (9 poses in total). So I will be providing the EMG signals of the 4 poses and the developer has to develop a classifier to distinguish the 4 poses if it's performed from the live EMG signal from the Myo armband.

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    Basic knowledge on BottomUp Binary Hierarchical Classifier, Pair Wise Classifier, SVM etc.

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    I need a NLP resume classifier where i can enter a keyword and the program will search all resume types doc, pdf docx, and GPA college in a folder and then apply self learning with training data on the cv The program should present final cvs to the user after all

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    Machine Learning 2ώρα left

    Looking for Python programmer for Machine learning implementation. Minimum Experience 6 months. Simple implementation of Basic Algorithms. Like SVM, Linera Regression, Random Forest Regression

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    generate algorithm using feature selection ReliefF and classifiers...with MLP , SVM

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    I need an expert in machine learning to write a brief description of how neural networks can be design to c...to improve the accuracy. Finally describe an experimental setup which can be setup to evaluate the performance possibly comparing it with traditional ML algorithms e.g. NBC,SVM, KNN etc. A sample will be provided. The write is about six pages.

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    I need to implement SE-ResNet CNN for classification of given image into stego or Cover class. should train 30-40000 images and test atleast 10000 images. Preferable implementation frame work is Pytorch/ Caffe. for any further clarification feel free to contact me

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    Sentiment Analysis Έχει λήξει left

    ...- Sentiment analysis approaches (Machine learning and Lexicon-based. please note that I'm using Machine learning supervisor approach: SVM (Support Vector Machines), Naïve Bayes Classifiers and Random Forest Classifier. so you have to show also why this approach used in the work at the end) - please use charts, tables and etc to explain the approaches

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    Just follow these instructions I think. [login to view URL]

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    MatLab project involving Wavelets Έχει λήξει left

    ...signal processing and MatLab to help me complete a project. The project is the following: - Add white noise of a given variance to a grayscale image - Implement a two-dimensional biorthogonal discrete wavelet transform with the bior6.8 filters - Compute the discrete wavelet transform for the noisy image. - Train a classifier that divides the coefficients

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    ... Project Requirements Classified the both type of images, by using following type of method. Normal and effected images [1]. Logistic Regression [2]. SVM (support Vector machine) [3]. LR+SVM [4]. CNN (Convolutional Neural Network) but in this you cannot use Alexnet, GoogleNet, VGG, you can only use some other method like ResNet-101, inception-V3

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    Machine Learning with R programming Έχει λήξει left

    Project involves applying machine learning techniques like SVM, Logistic for data analysis. Looking for someone proficient in R and who can do things really fast.

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    Looking for an expert in R language for a project, needed to be completed as wi...arrhythmia using MIT-BIH Database available on Kaggle, this is a small project, will take someone like you 1-2 days, I will give you the link to the dataset, U need to apply KNN, SVM, Naives Bayes, Random Forest, and finally a comparison of accuracy between these models

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    analysis of data mining algorithms Έχει λήξει left

    To implement Naive bayes, Decision trees, svm, k-means and Gaussian mixture models algorithms on 2 datasets without using inbuilt functions in R language and finally calculate accuracy, sensitivity, precision for those prediction algorithms.

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    webpage classifier in C Έχει λήξει left

    Fix a web page classifier program written in C to work with an ICAP server.

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    I have the following dataset: Text Labels blablalblabla 1,9 huhuh 4 hsafdhashfsafhsafhs 12,19 and want to apply deep learning on it to pr...

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    Just follow these instructions I think. [login to view URL]

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    Just follow these instructions I think. [login to view URL]

    €9 - €26
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    ...science and vision who has scientific knowledge in deep neural networks and machine learning ..and local features on facial detection and also do you have solid background in SVM, image processing, face detection and recognition The goal is for the right candidate to proof read a long comprehensive technical report on engineering research and deep learning

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    ...science and vision who has scientific knowledge in deep neural networks and machine learning ..and local features on facial detection and also do you have solid background in SVM, image processing, face detection and recognition The goal is for the right candidate to proof read a long comprehensive technical report on engineering research and deep learning

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    ...Spam Filter (i.e. Ham or Spam). Here are several examples [login to view URL] [login to view URL] The program should use Java 8 and use a open source machine library like Apache MLLib, Apache Mahout, DeepLearning4J, [login to view URL], JATECS, or some other

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    Hi, I have model trained using inceptionV3. The model is working well in the python based classifier. Then I used the same graph in the tensorflowsharp C# project. It sort of works, but the returned classification floating point values are missmatching with python result. I have attached both python and tensorflowsharp solution here. Please go through

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    ...science and vision who has scientific knowledge in deep neural networks and machine learning ..and local features on facial detection and also do you have solid background in SVM, image processing, face detection and recognition The goal is for the right candidate to proof read a long comprehensive technical report on engineering research and deep learning

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    I will provide a working small python code that I wanted to be converted to using Mallet. Additional small changes will be requested as well.

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    The aim of the project is to improve an (existing) program that detects abnormal network packets using machine learning algorithm (SVM). Good skills in network programming and machine learning are required.

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    I have a Feature reduction project KNN is used for classification I want to change the classification and to Random Forest and SVM. price is negotiable

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    ...Since then we also find out some strategies (Decision tree/Association Rules, etc. Part 3: Machine Leaning and DL Models 1. ML model • Regression • KNN • Random Forest • SVM • ANN • Deep Learning (LTSM,HTM, Tensorfow, etc) 2. Evaluation Part 4: Portfolio Construction/Optimization • Strategies • Portfolio Combination and permutation • P...

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    matlab expert on CNN Έχει λήξει left

    I need expert on deep learning, but the expert must have knowledge on CNN, SVM, regression.

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    implementation classifier Έχει λήξει left

    verify my java programmation, a classifier that classify features based on the mcmd method

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    ...Inception-V3) is predominently looking into shapes in the images. But I want a CNN model for classifing global features of image such as color-cast or sharpness. Hence shape based classifier is not what I am looking for. Please refer to the following paper and let me know if you can work in this challenge. [login to view URL] Kindly bid if

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    Machine Learning Έχει λήξει left

    I would like to do SVM, naive bayes and KNN using some tagged data. Data set is very small. R or python preferred.

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    Given a set of Q&A and interviews of a celebrity. Create an intent and entity recognition, classifier that identifies the user entity, goes through a classifier, returns the relevant answer and follows up a dialog by searching a database with entity topic. Follows it up by maintaining context. Can you Amazon ASR service for this

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    Classifying URLs Έχει λήξει left

    Create a MLA using ME, SVM, and NB. Using both binary and multi-way method. I will provide the dataset and the result is the precision, recall and f1 of all the categories.

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    I will provide a simple python code and a report which is wrote for a data classifier, you should explain how the code work to me by write some comments in it. The code is upload down below

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    explain a python code Έχει λήξει left

    I will apply a simple python code which is wrote for a data set classifier, please explain it step by step and try to let me understand how it works, than you!

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    Looking for freelancers who can proofread my machine learning classifier and neural network paper.

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    I would like to see if there is a classifier model out there which will beat my current best classifier. I am currently using BRT for classification. I will provide training and validation CSV files. Criteria for comparison would be PD/PFA on validation data set.

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    ...existing Python based trading strategy (the strategy will needs adjustment on several levels): The Strategy is run in Python and makes use of common modules: Numpy SkLearn incl. SVM/SVC Pandas etc. Your task is to extend the trading strategy as per the instruction that I will provide in chat and measure the following: - accuracy of prediction (long/short

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    ...NLP and machine learning algorithm. I need some one to develop a system which d-identifies patient names, place names, dates, gender, Age. This should be done using Bayes Classifier and training with N-gram statistical language model. Generation of keywords, then clustering keywords into semantically related clusters namely: Symptoms, Diagnosis,Assessment(Conclusions)

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    ...recognition from 0 - 9. This is for a school project. Please include descriptive comment on codes so that I can read and understand what each line of code does. The objective of this is so that I can learn to code and implement a simple neural network that learn and identify one digit numbers from 0 - 9. Prefer this program to be written in c or c++

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    ...interaction. 1st part. Which is the best classifier and why. Using their data to reproduce the data and then pursue a specific area 1. Setting the Computing environment is what I have been doing 2. The program runs and specifically retrieving the def1&2 output results 3. To run their code, I have been using a (software) linux system

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    ...clustring plus svm. I need you to know that is my first time to hire someone and i need this project after three weeks, if you're interested pls mail me and this is my mail "zibrahim46@[login to view URL]" i need this project in python programming and this project will be run on jupyter notebook on windows machine, and i need the source code with some comments

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    Complete Face-Morph Application Έχει λήξει left

    ...deployment: 1) Extract information from AWS Rekognition API call result to select images for quality and determine gender + expression: estimated 2h 2) Build ethnicity classifier: Leverage a commercial API that determines ethnicity (e.g. [login to view URL] or [login to view URL]). This will require writing a script that sends the images

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    ...not. Collect the good and bad queries, label them (either bot or not). The tricky part will be to extract features. As features you can use: HTTP request method HTTP status code URL File name ([login to view URL]) Useragent IP address Geolocation of the IP address Train and test machine learning model. The drawback of the proposed approach is that the requests

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    Given 8 sample images, I wo...would like a C# program that would tell me which sample the image corresponds to. The samples are static, but if you build a model trained on them, I would like to training code too. The images are roughly 120 by 120px in size. Performance must exceed 100 runs per second. You are expected to write your own unit tests.

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    CNN based Image Steganalyzer Έχει λήξει left

    ...the stego signal introduced to images is rather weak. Traditional steganalysis consisted of two parts. 1. Computing/extracting features from images 2. Training a classifier, such as SVM or Ensembled based on these features to distinguish between cover and stego objects. The big question is How to extract powerful features to capture the traces caused

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    ...existing Python based trading strategy (the strategy will needs adjustment on several levels): The Strategy is run in Python and makes use of common modules: Numpy SkLearn incl. SVM/SVC Pandas etc. Your task is to extend the trading strategy as per the instruction that I will provide in chat and measure the following: - accuracy of prediction (long/short

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    Nevus/ Moles Detection with SVM Έχει λήξει left

    Hello Everyone, I will need someone to finish my project for human nevus detection (kwdikas edge [login to view URL]) using SVM or a simple NN . You can use your datasets or use images downloaded from internet with Extreme picture finder to train it. Im sure they can help but detecting small moles on skin is difficult in general, as the parts are very small

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