Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 293

How to understand the network structure in this paper( a multiple timeseries fusion model )

I want to implement this paper: https://dl.acm.org/doi/pdf/10.1145/3269206.3271794 It has structure graph : But I can't understand how...

Asked on 12/05/2020 by Mithril

0 answer

How Adaboost works?

I have a basic doubt about Adaboost that pseudoalgorithms doesn't clearly explain. At each iteration, it uses a subset (that is resampled based in the errors of the previous weak...

Asked on 12/05/2020

0 answer

What is the best method for classification of time series data? Should I use LSTM or a different method?

I am trying to classify raw accelerometer data x,y,z to its corresponding label. What is the best architecture for best results? Or, does anyone have any suggestions on LSTM architectures...

Asked on 12/04/2020 by rosy

1 answer

How should I sample from a mixture distribution?

Let's say we have a mixture distribution, defined by density $f(x)= w_1 p_1(x) + w_2 p_2(x)$, where $w_i$ is a scalar weight. Furthermore, we have efficient methods to...

Asked on 12/04/2020 by Josh Purtell

1 answer

How to speed up passing of images to a GPU

I am using Ubuntu 16.04 LTS installed on a 4TB HDD. I am working with a large dataset (more than 30 GB and 150,000 images). I have a single 11GB...

Asked on 12/04/2020 by John Watts

1 answer

How to properly train your Self-Organized Map?

I stumbled recently upon the Self-Organized Map, an ANN architecture used to cluster high dimensional data, while simultaneously imposing a neighbourhood structure on it. It's trained through a competitive learning...

Asked on 12/04/2020

1 answer

Can I conduct independent t-test when data is infested with outliers ? and how to interpret the t-statistics?

I am working on 2 sample independent t-test. I have conducted analysis on test group vs control group and I have to write a report but I have few questions.Do...

Asked on 12/04/2020 by pinky

2 answer

What is the most effective unsupervised ML algorithm to use when outliers are present in data set?

I am analyzing a portfolio of about 225 stocks and have gotten data for each of them based on their "Price/Earnings ratio", "Return on Assets", and "Earnings per share growth"....

Asked on 12/04/2020 by Ross leavitt

2 answer

Augmenting the validation set in Ensemble Model

I have 8 models which I have trained on 90% of my set (training set) and tracked its performance on the loss of the validation set (10% of the original...

Asked on 12/04/2020

1 answer

What is difference between Standard Normal Distribution and Mean Normalization approaches to feature-scaling?

The tag feature-scaling seems to convey that one of the scaling methods is Standard Normal Distribution. Further, I read an Answer on this site saying that Mean Normalization is a...

Asked on 12/04/2020

1 answer

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