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Questions related to Training
If (1) the over training manifests itself in failure against instances that are new or excluded from the training set, and if (2) OOD instances are problematic because they are new and by...
19 February 2021 5,033 2 View
Dear scholars, I was wondering if there are any scientific methods to train a neural network or ANFIS when one of the input variables is stochastic (random) and more importantly non-measurable?...
18 February 2021 2,147 3 View
I have trained model model on NSL-KDD, I want to test my network/ real-time implimentation on my private network. I am looking for a tool/lib/software which can help me to collect similar network...
17 February 2021 5,210 1 View
I have a heated source emitting photons. The energy emitted from wavelength1 to wavelength2 is known (using plank's distribution law). Now I need to find the number of photons emitted between this...
14 February 2021 1,280 4 View
I want to train a model that should predict if a given signature is a genuine or a forged one. The model should take two images as input. One is the real signature, and the other is to be...
12 February 2021 4,602 3 View
The goal of regression model is either to minimize the prediction error or to maximize a classification accuracy depending on the type of the model. Is there any optimization algorithm that is...
11 February 2021 4,282 3 View
I have two datasets, one been the training set and the other the supplied test data. I'm trying to predict the rogue clients using the datasets provided. I have classified the data by initializing...
09 February 2021 6,091 6 View
My colleague opened my RG account. My page on his account is different than usual. Please see the attached snapshots. Moreover, he could download my RG research items, but he couldn't recommend...
09 February 2021 2,391 18 View
While reviewing technical articles, I encounter some papers where authors have used data balancing before splitting test and train (on full data), and some only balanced training data and let the...
05 February 2021 1,724 0 View
Hello everybody My research involves an intervention where an instructor delivers a training course to students. My role as a researcher is to write down observations. Do you have any idea about...
04 February 2021 7,035 3 View
I have a time-series dataset with 1500 records. The dim of each record is 5000*3*1 and Target is a single value like True/False. The point is that each 3*1 dim input is a location (x,y,z) and...
02 February 2021 6,235 3 View
I am working on technology adoption. I want to explore the moderating role of training on the relationship between the factors and the intention to adopt the technology. So, how can training be...
01 February 2021 3,865 3 View
Overfitting is a situation that occurs when a model learns the training set too well, taking up random fluctuations in the training data as concepts. These impact the model’s ability to generalize...
30 January 2021 9,467 6 View
In this example giving 400 samples looks like there is an accuracy of 91.5% while training beyond that point, accuracy is getting decreased. Are 400 samples enough to keep for this example? If...
28 January 2021 5,815 3 View
Hi, Im working with Digsilent 15.1 I have a 24 hours load profile that is defined with Time characteristics , I want to see Bus Voltage changes while load changes, Contingency Analysis isn't...
26 January 2021 3,675 3 View
I m carrying out a study on innovative teaching methods, the teaching methods are relatively new in the research area. however, teachers are to be trained on the application of these methods in...
25 January 2021 1,970 3 View
I am trying to lower the RMSE of my model as much as I can and I am wondering if there is a way to estimate the lowest it can get based on general characteristics of the model. (e.g. the amount of...
20 January 2021 6,058 3 View
I have question about building 3DQSAR model via regression model. I cant achieve r^2 more than 0.6 for 'test set' as well as for 'training CV'-what is this?. I am wondering whether 'training set'...
18 January 2021 3,604 4 View
Hello, Is it useful in texts classification to use the keywords expansion method for "long-text examples" in the training process for deep learning classifiers? Will it increase the efficiency of...
17 January 2021 9,454 3 View
Hello :) I'am trying to predict churn for the year of 2020 based on historical data from 2014 to 2019 on R Studio. The aim is to predict churn probability for every person. At the beginning...
14 January 2021 5,667 7 View
I'm looking for a functional requirement dataset (software requirement) to train the module.Where can i get it? Thanks in advance.
14 January 2021 5,246 6 View
Hello, If I increased the number of keywords (Features) of examples in training set pertaining to a particular class regarding to Sentiment Analysis Classification , will increase the efficiency...
12 January 2021 5,447 4 View
Hi everyone, I have to clarify a few of these things 01. Is there any difference “10 percentile training presence logistic threshold” ( maxentResults.csv) in the column titled and the "10...
09 January 2021 4,952 3 View
We want to classify multiple images using training sets and then a random forest classifier. We are planning to mosaic these images and then get the training sets and the classification. We would...
07 January 2021 4,042 3 View