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Phase II Lab/Experiment Hosting/Re-hosting Request for Pattern Recognition Lab - IIITH #604

Open sravanthimodepu opened 4 years ago

sravanthimodepu commented 4 years ago

Hosting Request

sravanthimodepu commented 4 years ago

@sravanthimodepu

Hosted URL of Lab: http://cse20-iiith.vlabs.ac.in Branch: Master Tag: v1.1.3

sravanthimodepu commented 4 years ago

Hosting Request

sravanthimodepu commented 4 years ago

@sravanthimodepu

Hosted URL of Lab: http://cse20-iiith.vlabs.ac.in Branch: Master Tag: v1.1.4

sravanthimodepu commented 3 years ago

Hosting Request

pavanchow commented 3 years ago

@sravanthimodepu

Hosted URL of Lab: http://cse20-iiith.vlabs.ac.in Branch: Master Tag: v1.1.5

Please check and approve.

pavanchow commented 3 years ago

@sravanthimodepu Please check and approve the above.

sravanthimodepu commented 3 years ago

Request to re-host

pavanchow commented 3 years ago

@sravanthimodepu

Hosted Pattern Recognition URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master Tag: v1.1.6

Please check and approve. NOTE: IF NOT APPROVED WITHIN 3 DAYS, SOURCES WILL BE AUTOMATICALLY REVERTED TO OLDER VERSION.

sravanthimodepu commented 3 years ago

Request to re-host

pavanchow commented 3 years ago

@sravanthimodepu

Hosted Pattern Recognition URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master Tag: v1.1.7

Please check and approve.

sravanthimodepu commented 3 years ago

Repo Owner Details Name - Sravanthi GitHub handle - sravanthimodepu Email id - sravanthimodepu@vlabs.ac.in

Lab Name: Pattern Recognition Lab

List of Experiments and Repositories: | No.| Experiment Name | Experiment repository URL | Branch | Tag

  1. Feature Representation - https://github.com/virtual-labs/exp-feature-representation-iiith - main - v1.0.0
  2. Mean and Covariance - https://github.com/virtual-labs/exp-mean-and-covariance-iiith - main -v1.0.0
  3. Linear Perceptron Learning - https://github.com/virtual-labs/exp-linear-perceptron-learning-iiith - main - v1.0.0
  4. Generation of Random Variables - https://github.com/virtual-labs/exp-generation-of-random-variables-iiith - main - v1.0.0
  5. Bayesian Classification - https://github.com/virtual-labs/exp-bayesian-classification-iiith - main -v1.0.0
  6. MLE: Learning the classifier from data - https://github.com/virtual-labs/exp-mle-iiith - main - v1.0.0
  7. Data Clustering: K-Means, MST-based - https://github.com/virtual-labs/exp-mst-based-iiith - main - v1.0.0

Lab url: http://cse20-iiith.vlabs.ac.in/

Introduction: The virtual lab on Pattern Recognition is design to supplement a senior undergraduate or graduate level course in Statistical Pattern Recognition. The experiments are designed to improve the clarity in understanding of the basic concepts as well as to enable the student to put them into practical use. It is important that the student goes through the objectives and the underlying theory before carrying out the experiments to get maximum benefit.

The primary reference (textbook) for the topics covered by the experiments is: Pattern Classification (2nd ed.), by R.O. Duda, P.E. Hart and D.G. Stork.

The experiments are designed to expose you to certain concepts. You are encouraged to carry out variants of the suggested experiments and learn from them. Please make sure that you read the background material and experiment procedure before carrying out the experiments. Trying out the experiments before this does not hurt, but having the background will help you understand the results better.

Please note:

Objective: Pattern recognition is generally categorized according to the type of learning procedure used to generate the output value.

Course Alignment: The present lab is aligned with courses such as Introduction to Data Structures, Data Structures in C/C++, and the like. The experiments touch on most topics covered in such courses in most curricula.

Target Audience: B.Tech Computer Science and Engineering Students.

pavanchow commented 3 years ago

@sravanthimodepu

Hosted Pattern Recognition URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master

Please check and approve.

BalammaBoya commented 3 years ago

Lab Name : Structural Dynamics

Note : This lab experiments doesn't have any back end dependence for hosting.

pavanchow commented 3 years ago

@sravanthimodepu Reverting back to old sources as requested. URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master

Please check and approve.

sravanthimodepu commented 3 years ago

Repo Owner Details Name - Sravanthi GitHub handle - sravanthimodepu Email id - sravanthimodepu@vlabs.ac.in

Lab Name: Pattern Recognition Lab

List of Experiments and Repositories: | No.| Experiment Name | Experiment repository URL | Branch | Tag

  1. Feature Representation - https://github.com/virtual-labs/exp-feature-representation-iiith - main - v1.0.1
  2. Mean and Covariance - https://github.com/virtual-labs/exp-mean-and-covariance-iiith - main -v1.0.1
  3. Linear Perceptron Learning - https://github.com/virtual-labs/exp-linear-perceptron-learning-iiith - main - v1.0.1
  4. Generation of Random Variables - https://github.com/virtual-labs/exp-generation-of-random-variables-iiith - main - v1.0.1
  5. Bayesian Classification - https://github.com/virtual-labs/exp-bayesian-classification-iiith - main -v1.0.1
  6. MLE: Learning the classifier from data - https://github.com/virtual-labs/exp-mle-iiith - main - v1.0.1
  7. Data Clustering: K-Means, MST-based - https://github.com/virtual-labs/exp-mst-based-iiith - main - v1.0.1

Lab url: http://cse20-iiith.vlabs.ac.in/

Introduction: The virtual lab on Pattern Recognition is design to supplement a senior undergraduate or graduate level course in Statistical Pattern Recognition. The experiments are designed to improve the clarity in understanding of the basic concepts as well as to enable the student to put them into practical use. It is important that the student goes through the objectives and the underlying theory before carrying out the experiments to get maximum benefit.

The primary reference (textbook) for the topics covered by the experiments is: Pattern Classification (2nd ed.), by R.O. Duda, P.E. Hart and D.G. Stork.

The experiments are designed to expose you to certain concepts. You are encouraged to carry out variants of the suggested experiments and learn from them. Please make sure that you read the background material and experiment procedure before carrying out the experiments. Trying out the experiments before this does not hurt, but having the background will help you understand the results better.

Please note:

pavanchow commented 3 years ago

@sravanthimodepu

Hosted Pattern Recognition URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master

Please check and approve.

sravanthimodepu commented 3 years ago

Repo Owner Details Name - Sravanthi GitHub handle - sravanthimodepu Email id - sravanthimodepu@vlabs.ac.in

Lab Name: Pattern Recognition Lab

List of Experiments and Repositories: | No.| Experiment Name | Experiment repository URL | Branch | Tag

  1. Feature Representation - https://github.com/virtual-labs/exp-feature-representation-iiith - main - v1.0.1
  2. Mean and Covariance - https://github.com/virtual-labs/exp-mean-and-covariance-iiith - main -v1.0.1
  3. Linear Perceptron Learning - https://github.com/virtual-labs/exp-linear-perceptron-learning-iiith - main - v1.0.1
  4. Generation of Random Variables - https://github.com/virtual-labs/exp-generation-of-random-variables-iiith - main - v1.0.1
  5. Bayesian Classification - https://github.com/virtual-labs/exp-bayesian-classification-iiith - main -v1.0.2
  6. MLE: Learning the classifier from data - https://github.com/virtual-labs/exp-mle-iiith - main - v1.0.1
  7. Data Clustering: K-Means, MST-based - https://github.com/virtual-labs/exp-mst-based-iiith - main - v1.0.2

Lab url: http://cse20-iiith.vlabs.ac.in/

pavanchow commented 3 years ago

@sravanthimodepu

Hosted Pattern Recognition URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master

Please check and approve.

sravanthimodepu commented 3 years ago

Repo Owner Details Name - Sravanthi GitHub handle - sravanthimodepu Email id - sravanthimodepu@vlabs.ac.in

Lab Name: Pattern Recognition Lab

List of Experiments and Repositories: | No.| Experiment Name | Experiment repository URL | Branch | Tag

  1. Feature Representation - https://github.com/virtual-labs/exp-feature-representation-iiith - main - v1.0.1
  2. Mean and Covariance - https://github.com/virtual-labs/exp-mean-and-covariance-iiith - main -v1.0.1
  3. Linear Perceptron Learning - https://github.com/virtual-labs/exp-linear-perceptron-learning-iiith - main - v1.0.2
  4. Generation of Random Variables - https://github.com/virtual-labs/exp-generation-of-random-variables-iiith - main - v1.0.2
  5. Bayesian Classification - https://github.com/virtual-labs/exp-bayesian-classification-iiith - main -v1.0.3
  6. MLE: Learning the classifier from data - https://github.com/virtual-labs/exp-mle-iiith - main - v1.0.1
  7. Data Clustering: K-Means, MST-based - https://github.com/virtual-labs/exp-mst-based-iiith - main - v1.0.3

Lab url: http://cse20-iiith.vlabs.ac.in/

pavanchow commented 3 years ago

@sravanthimodepu

Hosted Pattern Recognition URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master

Please check and approve.

sravanthimodepu commented 3 years ago

@pavanchow

The lab sources are update correctly. Hence approved.

sravanthimodepu commented 2 years ago

@pavanchow

Please update the introduction page with the below content and host the lab with the updated sources.

Note: This release consists of double header fixes.

Lab Name: Pattern Recognition Lab

List of Experiments and Repositories: | No.| Experiment Name | Experiment repository URL | Branch | Tag

  1. Feature Representation - https://github.com/virtual-labs/exp-feature-representation-iiith - main - v1.0.3
  2. Mean and Covariance - https://github.com/virtual-labs/exp-mean-and-covariance-iiith - main -v1.0.3
  3. Linear Perceptron Learning - https://github.com/virtual-labs/exp-linear-perceptron-learning-iiith - main - v1.0.4
  4. Generation of Random Variables - https://github.com/virtual-labs/exp-generation-of-random-variables-iiith - main - v1.0.4
  5. Bayesian Classification - https://github.com/virtual-labs/exp-bayesian-classification-iiith - main -v1.0.5
  6. MLE: Learning the classifier from data - https://github.com/virtual-labs/exp-mle-iiith - main - v1.0.3
  7. Data Clustering: K-Means, MST-based - https://github.com/virtual-labs/exp-mst-based-iiith - main - v1.0.5

Lab url: http://cse20-iiith.vlabs.ac.in/

Introduction: The virtual lab on Pattern Recognition is design to supplement a senior undergraduate or graduate level course in Statistical Pattern Recognition. The experiments are designed to improve the clarity in understanding of the basic concepts as well as to enable the student to put them into practical use. It is important that the student goes through the objectives and the underlying theory before carrying out the experiments to get maximum benefit.

The primary reference (textbook) for the topics covered by the experiments is: Pattern Classification (2nd ed.), by R.O. Duda, P.E. Hart and D.G. Stork.

The experiments are designed to expose you to certain concepts. You are encouraged to carry out variants of the suggested experiments and learn from them. Please make sure that you read the background material and experiment procedure before carrying out the experiments. Trying out the experiments before this does not hurt, but having the background will help you understand the results better.

Please note: The simulations of this lab have some of the following software dependencies - Browsers - Firefox 50 and lower versions, Internet Explorer Software - Adobe Flash Plugin, Java1.7, Java3D-1.5.2, and IcedTea Plugin.

We recommend you to use our customized Virtual Box for the smooth running of these simulations.

Install VirtualBox - Virtual Labs offers a free download of a customized VirtualBox with the required pre-installed software dependencies (Java 1.7, Java3D-1.5.2, IcedTea Plugin, and Adobe Flash Plugin). Please follow the link to download, install VirtualBox for easy use of Virtual Labs.

pavanchow commented 2 years ago

@sravanthimodepu

Hosted Pattern Recognition URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master

Please check and approve.

sravanthimodepu commented 2 years ago

@pavanchow

Please update the introduction page with the below content and links properly and host the lab with the updated sources.

Lab Name: Pattern Recognition Lab

List of Experiments and Repositories: | No.| Experiment Name | Experiment repository URL | Branch | Tag

  1. Feature Representation - https://github.com/virtual-labs/exp-feature-representation-iiith - main - v1.0.4
  2. Mean and Covariance - https://github.com/virtual-labs/exp-mean-and-covariance-iiith - main -v1.0.4
  3. Linear Perceptron Learning - https://github.com/virtual-labs/exp-linear-perceptron-learning-iiith - main - v1.0.5
  4. Generation of Random Variables - https://github.com/virtual-labs/exp-generation-of-random-variables-iiith - main - v1.0.5
  5. Bayesian Classification - https://github.com/virtual-labs/exp-bayesian-classification-iiith - main -v1.0.6
  6. MLE: Learning the classifier from data - https://github.com/virtual-labs/exp-mle-iiith - main - v1.0.4
  7. Data Clustering: K-Means, MST-based - https://github.com/virtual-labs/exp-mst-based-iiith - main - v1.0.6

Lab url: http://cse20-iiith.vlabs.ac.in/

Introduction: The virtual lab on Pattern Recognition is design to supplement a senior undergraduate or graduate level course in Statistical Pattern Recognition. The experiments are designed to improve the clarity in understanding of the basic concepts as well as to enable the student to put them into practical use. It is important that the student goes through the objectives and the underlying theory before carrying out the experiments to get maximum benefit.

The primary reference (textbook) for the topics covered by the experiments is: Pattern Classification (2nd ed.), by R.O. Duda, P.E. Hart and D.G. Stork.

The experiments are designed to expose you to certain concepts. You are encouraged to carry out variants of the suggested experiments and learn from them. Please make sure that you read the background material and experiment procedure before carrying out the experiments. Trying out the experiments before this does not hurt, but having the background will help you understand the results better.

Please note: The simulations of this lab have some of the following software dependencies - Browsers - Firefox 50 and lower versions, Internet Explorer Software - Adobe Flash Plugin, Java1.7, Java3D-1.5.2, and IcedTea Plugin.

We recommend you to use our customized Virtual Box for the smooth running of these simulations.

Install VirtualBox - Virtual Labs offers a free download of a customized VirtualBox with the required pre-installed software dependencies (Java 1.7, Java3D-1.5.2, IcedTea Plugin, and Adobe Flash Plugin). Please follow the link to download, install VirtualBox for easy use of Virtual Labs.

pavanchow commented 2 years ago

@sravanthimodepu

Hosted Pattern Recognition URL of Lab: https://cse20-iiith.vlabs.ac.in/ Branch: Master

Please check and approve.