Inference jobs

Semi-supe...(sDSAE) that can effectively eliminate the influence of noise. Development of a mathematical connection between maximum-likelihood learning and the cost function of variational inference with implicit distributions and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

Semi-supe...(sDSAE) that can effectively eliminate the influence of noise. Development of a mathematical connection between maximum-likelihood learning and the cost function of variational inference with implicit distributions and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

Semi-supe...(sDSAE) that can effectively eliminate the influence of noise. Development of a mathematical connection between maximum-likelihood learning and the cost function of variational inference with implicit distributions and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

Semi-supe...(sDSAE) that can effectively eliminate the influence of noise. Development of a mathematical connection between maximum-likelihood learning and the cost function of variational inference with implicit distributions and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

Inference in predicate logic Optimization Data mining

...to write Research paper. I am a research scholar in the field of [log ind for at se URL] of my research work should be written for publication. Only the result with high level inference will be shared , the research article targeted for SCOPUS indexed journal. Domain knowledge in synthesis of nanomaterials will be required to complete this project. Basis

I have a data analysis task. Giving inference of the dta

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.

I need help with a small project - Mainly to design and implement a fuzzy controller (Zero-order Sugeno Fuzzy Inference System) for balancing an inverted pendulum system.

Hi, I need help with designing and implementation of a fuzzy controller (Zero-order Sugeno Fuzzy Inference System) for balancing an inverted pendulum system.

create inputs with membership functions for each as well for the output

Want to upgrade/modify my existing application which is eclipse apache jena based. Semantic search, triples extraction, search engine, jena inference, java code, N-quad in jena, all these keywords related to my topic if u have skill and make sense contact me i will provide more detail

Must be built in Java. Implementation of Truth Table, Forward Chaining and Backward Chaining.

...that we will be able to put it on there. It's our hope we should be able to use AWS ECS to train the model and put the model in a S3 bucket, and then use AWS Lambda for inference/predictions checks. Technology stack used must be compatible with AWS Lambda. If you are bidding, please declare your stack choice. Also indicate if you have the AWS skills

Detect some specific objects over video. The goal is to traian my own dataset based on real pictures. You must use Tensorflow and Opencv as base source code and test the next models: 1. SSD 2. Faster RCNN 3. Yolo v2 The results has to be demostrated by comparing mAP and FPS for the validation data set.

Keywords: graphical models, inference, updating beliefs, CRF, belief propagation, probabilistic model, Matlab, message passing. Hi everyone Im working on a project related to image processing using MATLAB. Im looking for someone who can help me to implement graphical models. It is about updating belief between nodes, using Conditional Random Field

Hi I need to construct a practical demonstration of a neural network in the field of inference control (''soft sensors'') using the Levenberg-Marquardt training algorithm. The network can be developed in any language of your choice, however, the neural network toolbox in Matlab as well as the solver function in Excel must not be used

...Model Chapter 3: Interval Estimation and Hypothesis Testing Chapter 4: Forecast, Goodness of Fit, and Model Specifications Chapter 5: Multiple Regression Chapter 6: Further Inference in Multiple Regression Chapter 7: Indicator Variables Chapter 8: Heteroskedasticity Chapter 9: Time Series 1 (Stationary Time Series) Chapter 10: Instrumental Variables Chapter

choose one of the four topics in the doc To analyze data and make inference, use either Matlab or R. The code must be included in the final project and sent, together with the project and the data used.

We are looking for some one who is expert in Django Admin customization for an existing project. If you are good ...Python 12. Hands-on experience with Amazon S3 13. Django - Compress Knowledge in the following is an added advantage 1. Knowledge in data analytics and statistical inference 2. numpy and Python Pandas 3. Algorithm development