InferenceJobs

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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 Engine with Knowledge based editor required with source code in java. proposal file will be shared through PMB.

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.

I am trying to build an inference application using TensorFlow in C++ to be used in an optimization program. I have already built and trained the CNN model using python, and have been able to load it into C++ as a pb file, but I haven’t been able to figure out how to run an inference with my Input type, which is a multidimensional floating number

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

...that .........."). - No baseless arguments on the article without data to support that argument. If there is an idea proposed on the article that is not backed up by proper inference, that entry will be rejected. - All citations must be hyperlinked. - zero personal opinions in the article. Any baseless inferences in article without link to a published

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

...Regression Discontinuity Designs Regression (preferred) Cox proportional hazard model used for survival analysis (preferred) 4. (Preferred) Have experience in Causal inference and using identification strategies 5. (Preferred) Have practical experience in implementing tests for detecting the presence of and methods for treating the endogeneity

...that .........."). - No baseless arguments on the article without data to support that argument. If there is an idea proposed on the article that is not backed up by proper inference, that entry will be rejected. - All citations must be hyperlinked. - zero personal opinions in the article. Any baseless inferences in article without link to a published

...gov/blast/executables/blast+/LATEST/ kmacs -->[log ind for at se URL] co-phylog-->[log ind for at se URL] Co-phylog: a bioinformatics tool for Phylogenetic inference | Phylogenomics Creates a micro-alignment in a sequence using the context of an object. Co-phylog is a phylogenomic approach that takes advantage of unassembled next-generation

...automate some of my modeling. I know this requires a set of for loops and some programming/stats knowledge but I don't have the programming skills. I want to use this mainly for inference/explanation but most machine learning tools I could find focus entirely on prediction. I am looking for a program in R that does the following: Step 1) I put in my data

...transform it into an understandable structure for further use. Aside from a raw analysis step, it involves database and data management aspects, data processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization and online updating. The actual data mining task

I need help on a empirical likelihood inference project. Using R

I have create the own model from ssd_mobilenet_v1_coco. I want to export the trained model to a single file (Tensorflow graph proto) so that I can use it for inference. But during the exporting, I had the error message. Help me.

I am looking for someone to work on BAYESIAN NETWORKS (BN) projects ...for someone to work on BAYESIAN NETWORKS (BN) projects Must understand packages called gGain, bnlearn, etc. Must be also good at Mathematics and Statistics to understand Inference in BN and more. Must be Expert in R Code. Several Projects will follow for the right person.

I am looking for assistance in SPSS statistical analysis of Clinical study data in "Epidemiology of pancreatitis in...required to perform appropriate statistical analysis by SPSS and then extract relevant information from the output to summarize the results in tables and figures and draw inference from the results before writing the full manuscript.

...transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online [log ind for at se URL] mining is the analysis

...every 10th value from the population and perform inference analysis calculations: ANOVA table ANOVA F-test Confidence interval of the slope Confidence interval for the mean of responses Submit your report, as PDF document, with results of visual data and regression analysis, as well as inference results for the selected dataset. INCLUDE

I am trying do machine learning under privacy preservation in social networks. Inference attacks such as ICA-RST used semi-supervised learning to learn/label the unlabeled nodes. These predicted learned/labeled nodes are considered to be sensitive. I'm searching for a method of improvement based on a paper which I read in python and to do machine learning

I need a small project who can solve a car diagnosis with inference by enumeration with bayesian network,more details in private.

I am trying do machine learning under privacy preservation in social networks. Inference attacks such as ICA-RST used semi-supervised learning to learn/label the unlabeled nodes. These predicted learned/labeled nodes are considered to be sensitive. I'm searching for a method of improvement based on a paper which I read in python and to do machine learning

Gather the knowledge necessary for Natural Logic inference (specialization/generalization from WordNet and LoreKB) or how to make a system that predicts the specialization/generalization of words, such as training a simple classifier from data. The format that you write it in can be anything that is easy to access and fully captures the information

Gather the knowledge necessary for Natural Logic inference (specialization/generalization from WordNet and LoreKB) or how to make a system that predicts the specialization/generalization of words, such as training a simple classifier from data. The format that you write it in can be anything that is easy to access and fully captures the information

...uncompressed). It's Logical Foundations of A.I. + NLP If you want, I can send you the LoreKB file too (just remember it's huge). Gather the knowledge necessary for Natural Logic inference (specialization/generalization from WordNet and LoreKB) or how to make a system that predicts the specialization/generalization of words, such as training a simple classifier

...uncompressed). It's Logical Foundations of A.I. + NLP If you want, I can send you the LoreKB file too (just remember it's huge). Gather the knowledge necessary for Natural Logic inference (specialization/generalization from WordNet and LoreKB) or how to make a system that predicts the specialization/generalization of words, such as training a simple classifier

...uncompressed). It's Logical Foundations of A.I. + NLP If you want, I can send you the LoreKB file too (just remember it's huge). Gather the knowledge necessary for Natural Logic inference (specialization/generalization from WordNet and LoreKB) or how to make a system that predicts the specialization/generalization of words, such as training a simple classifier

I need someone who is familiar with lorekb and wordnet more details will be given upon request Gather the knowledge necessary for Natural Logic inference (specialization/generalization from WordNet and LoreKB) or how to make a system that predicts the specialization/generalization of words, such as training a simple classifier from data.

...every 10th value from the population and perform inference analysis calculations: -ANOVA table -ANOVA F-test -Confidence interval of the slope -Confidence interval for the mean of responses 5. Submit your report, as PDF document, with results of visual data and regression analysis, as well as inference results for the selected dataset. INCLUDE HASH

...that's up to you. Deliverables: 1. Final trained models - .data, .meta, .index files of best model. 2. Frozen .pb of the best model mentioned in point 1. 3. Code to do inference on single images and batch images. Expecting: 1. Preferably top 1 accuracy of 75% and I can't accept if it is less than 70%. The original model has ~75% accuracy on 1000

It is a project on Bayesian Inference using OpenBUGS.

I need the services of a Data Science and Experienced MatLab Programmer. You must be able use Matlab to apply probability calculation, Linear regression, Statistical Inference. Only experienced programmer is required. Many Thanks