Trjtdtk

Is it possible to upcast ritual spells?

How difficult is it to simply disable/disengage the MCAS on Boeing 737 Max 8 & 9 Aircraft?

Are relativity and doppler effect related?

Do I need to be arrogant to get ahead?

How do I change two letters closest to a string and one letter immediately after a string using Notepad++?

Why no Iridium-level flares from other satellites?

Min function accepting varying number of arguments in C++17

Pauli exclusion principle

Violin - Can double stops be played when the strings are not next to each other?

Fastest way to pop N items from a large dict

How could an airship be repaired midflight?

How do you talk to someone whose loved one is dying?

combinatorics floor summation

Is "upgrade" the right word to use in this context?

Is it normal that my co-workers at a fitness company criticize my food choices?

Shortcut for setting origin to vertex

How well should I expect Adam to work?

How to terminate ping <dest> &

Did Ender ever learn that he killed Stilson and/or Bonzo?

What is the significance behind "40 days" that often appears in the Bible?

What is "focus distance lower/upper" and how is it different from depth of field?

Happy pi day, everyone!

Recruiter wants very extensive technical details about all of my previous work

New passport but visa is in old (lost) passport

Is there a consensus on the best model for Antimicrobial Resistance (AMR) prediction?

What is the best way to propose an item from a set based on previous choices?Is learning process of artificial neural networks natural?Predicting contract churn/cancellation: Great model results does not work in the real worldMachine learning for predicting HTML Elements on a web page?Name of ML discipline for trainable clusterer - supervised clustering, or group ID assignmentGuidance to create a machine learning alg to find multiple overlapping date over multiple periodsuggest ingredients based on recipe titleRather use many linear classifiers than one complex one for numerical data?Reading strategy for ML booksModelling a startup's funding journey with Brownian Motion

0

2

$begingroup$

Some classes of problem are best solved by a specific class of machine learning model, due to the structure of the data (e.g. Deep Learning for computer vision).

Prediction of bacterial resistance/susceptibility to antimicrobials (from genotypic data) using Machine Learning methods is a problem that has started receiving interest in recent years.

The following paper (from 2017) analysed the then current literature and found that:

To date, there has not been a consensus about the optimal machine learning model to be used for AST genotype–phenotype prediction, as reflected by the diverse algorithms authors have implemented (Table 1).

• 
  Machine learning: novel bioinformatics approaches for combating antimicrobial resistance
  
  Macesica, Polubriaginof, Tatonettib (2017)

Has this changed in the past 2 years?

Is there now a consensus about which models are most effective?

---

^{Table 1 from paper:}

machine-learning supervised-learning data-science-model bioinformatics

share|improve this question

edited yesterday

ukemi

asked yesterday

ukemiukemi

1488

$endgroup$

add a comment | 

0

2

$begingroup$

Some classes of problem are best solved by a specific class of machine learning model, due to the structure of the data (e.g. Deep Learning for computer vision).

Prediction of bacterial resistance/susceptibility to antimicrobials (from genotypic data) using Machine Learning methods is a problem that has started receiving interest in recent years.

The following paper (from 2017) analysed the then current literature and found that:

To date, there has not been a consensus about the optimal machine learning model to be used for AST genotype–phenotype prediction, as reflected by the diverse algorithms authors have implemented (Table 1).

• 
  Machine learning: novel bioinformatics approaches for combating antimicrobial resistance
  
  Macesica, Polubriaginof, Tatonettib (2017)

Has this changed in the past 2 years?

Is there now a consensus about which models are most effective?

---

^{Table 1 from paper:}

machine-learning supervised-learning data-science-model bioinformatics

share|improve this question

edited yesterday

ukemi

asked yesterday

ukemiukemi

1488

$endgroup$

add a comment | 

$begingroup$

Some classes of problem are best solved by a specific class of machine learning model, due to the structure of the data (e.g. Deep Learning for computer vision).

Prediction of bacterial resistance/susceptibility to antimicrobials (from genotypic data) using Machine Learning methods is a problem that has started receiving interest in recent years.

The following paper (from 2017) analysed the then current literature and found that:

To date, there has not been a consensus about the optimal machine learning model to be used for AST genotype–phenotype prediction, as reflected by the diverse algorithms authors have implemented (Table 1).

• 
  Machine learning: novel bioinformatics approaches for combating antimicrobial resistance
  
  Macesica, Polubriaginof, Tatonettib (2017)

Has this changed in the past 2 years?

Is there now a consensus about which models are most effective?

---

^{Table 1 from paper:}

machine-learning supervised-learning data-science-model bioinformatics

share|improve this question

edited yesterday

ukemi

asked yesterday

ukemiukemi

1488

$endgroup$

share|improve this question

edited yesterday

ukemi

asked yesterday

ukemiukemi

1488

share|improve this question

edited yesterday

ukemi

asked yesterday

ukemiukemi

1488

asked yesterday

ukemiukemi

1488

asked yesterday

ukemiukemi

1488