Because the parameter requirements of the two algorithms are very different, the results that would be obtained from the two approaches would be different. Principally what are the differences between the two is the question.
Whatever features we give are just numerical/categorical values for a machine learning algorithm. It will just try to find out a pattern in it. Different feature selection techniques return...
06 July 2018 4,042 1 View
Enzymes occur in different subcellular locations. Some are specific to a subcellular location. Some are heterogeneously distributed. Is there a reported phenomenon for why they occur in different...
11 December 2016 3,213 5 View
There can be many reasons for evolutionary conservation/change of a particular gene. The reasons may vary from different perspectives - sequence, structure and function. Has any research or review...
10 November 2015 5,774 7 View
Though a number of measures prevail for analysing bias in codon usage,every measure might answer a different biological question altogether. Knowing these measures and understanding the...
11 December 2013 6,938 0 View
Please, if Gaussian Parameter optimization is possible in this code structure
28 February 2021 278 3 View
Hi I am trying to segment a sentinel2 image. At this stage, I want to run a binary classifier that assigns each pixel to either farm or non-farm pixel. For this purpose, I have 4 10m bands...
15 February 2021 3,596 9 View
Hello, When using a Deep Belief network (DBN) for images classification, how could we choose the number of hidden layers (number of Restricted Boltzmann Machines) and nodes (RBM size) in a hidden...
09 February 2021 4,618 5 View
Hi We have two time series dataset. For example mean daily temperature from two stations. Each of them have 30 data for a month. T1={ t1 , t2 ,... , t30 } T2={ t1 , t2 ,... , t30 } Now we want to...
06 February 2021 6,434 7 View
Data sets, when structured, can be put in vector form (v(1)...v(n)), adding time dependency it's v(i, t) for i=1...n and t=1...T. Then we have a matrix of terms v(i, j)... Matrices are important,...
30 January 2021 9,295 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...
27 January 2021 5,657 3 View
Hello, I am trying to perform MD simulation for the protein-ligand system and I got this after Minimization. I used openMM for minimization and I used ambertool for protein-ligand...
20 January 2021 1,922 2 View
I am working on the development of multi-species volume allometric equation from diameter (DBH). I would like to form groups of species with the largest possible volume-diameter correlations by...
19 January 2021 5,752 5 View
Hello, I am working on hybrid neural network. I have combined ANN with two different evolutionnary algorithms to build a prediction model of 6 inputs and one output with one hidden layer of 7...
18 January 2021 7,144 3 View
Hello, I read some papers they used Pre-processing steps with text that will classify based on Sentiment Analysis. My question is, can I use text Pre-processing techniques in the sentiment...
11 January 2021 5,932 7 View