mlcomp.org

MLcomp - Home

7205 users, 19687 datasets, 487 programs, 36084 runs (3488 queued, 0 running), 1 workers. On March 1, 2018, after 8 years of promoting openness and standardization in machine learning evaluation and executing people's arbitrary code, we are finally retiring MLcomp. However, all the public code and data will be migrated to CodaLab Worksheets. The spirit of MLcomp will still live on in CodaLab.]. MLcomp is a free website for objectively comparing. Do a comprehensive evaluation of your new algorithm. Column...

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MLcomp - Home | mlcomp.org Reviews

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7205 users, 19687 datasets, 487 programs, 36084 runs (3488 queued, 0 running), 1 workers. On March 1, 2018, after 8 years of promoting openness and standardization in machine learning evaluation and executing people's arbitrary code, we are finally retiring MLcomp. However, all the public code and data will be migrated to CodaLab Worksheets. The spirit of MLcomp will still live on in CodaLab.]. MLcomp is a free website for objectively comparing. Do a comprehensive evaluation of your new algorithm. Column...

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MLcomp - Home | mlcomp.org Reviews

https://mlcomp.org

7205 users, 19687 datasets, 487 programs, 36084 runs (3488 queued, 0 running), 1 workers. On March 1, 2018, after 8 years of promoting openness and standardization in machine learning evaluation and executing people's arbitrary code, we are finally retiring MLcomp. However, all the public code and data will be migrated to CodaLab Worksheets. The spirit of MLcomp will still live on in CodaLab.]. MLcomp is a free website for objectively comparing. Do a comprehensive evaluation of your new algorithm. Column...

INTERNAL PAGES

mlcomp.org

1

MLcomp - Viewing Program boostexter 150r no-awk

http://www.mlcomp.org/programs/1481

5854 users, 12510 datasets, 482 programs, 31567 runs (0 queued, 9 running), 1 workers. Adaboost on single level decision trees. Removed awk-dependency and rounds reduced to 150. Run this program on a dataset. Sample Data from input. Pagination page = 0. Reverse sort = true. Pagination maxed = false. Columns = dset create rundset namedset userdset disk sizedset avg stddevdset num runs. Title = Select a dataset. Current sort col = avg stddev. Show footer = true. Existing runs on boostexter 150r no-awk.

2

MLcomp - Viewing All Datasets

http://www.mlcomp.org/datasets

5854 users, 12510 datasets, 482 programs, 31567 runs (0 queued, 9 running), 1 workers. A dataset is the input into a machine learning program. The table below shows everyone's datasets that have been processed successfully in all domains. To see only your datasets, go to my stuff. To create a run, first click on a dataset. Linear Regression - Regularized (beta). Linear Regression - Regularized (beta). Neuro-fuzzy model based mixture of experts. Linear Regression - Regularized (beta). Pagination page = 0.

3

MLcomp - Viewing All Programs

http://www.mlcomp.org/programs

5854 users, 12510 datasets, 482 programs, 31567 runs (0 queued, 9 running), 1 workers. Performs a machine learning task (e.g., regression, binary classification), taking a dataset as input. The table below shows everyone's programs that have been checked successfully in all domains. To see only your programs, go to my stuff. To create a run, first click on a program. Pagination page = 0. Reverse sort = true. Pagination maxed = false. Title = Programs (all domains). Current sort col = avg percentile.

4

MLcomp - Viewing Program boostexter no-awk

http://www.mlcomp.org/programs/1479

5854 users, 12510 datasets, 482 programs, 31567 runs (0 queued, 9 running), 1 workers. Adaboost on single level decision trees. Removed awk-dependency. Run this program on a dataset. Sample Data from input. Pagination page = 0. Reverse sort = true. Pagination maxed = false. Columns = dset create rundset namedset userdset disk sizedset avg stddevdset num runs. Title = Select a dataset. Current sort col = avg stddev. Show footer = true. Filters = formatBinaryClassificationprocess statussuccess. B][url=http...

5

MLcomp - Viewing Program boostexter 500r no-awk

http://www.mlcomp.org/programs/1480

5854 users, 12510 datasets, 482 programs, 31567 runs (0 queued, 9 running), 1 workers. Adaboost on single level decision trees. Removed awk-dependency and rounds reduced to 500. Run this program on a dataset. Sample Data from input. Pagination page = 0. Reverse sort = true. Pagination maxed = false. Columns = dset create rundset namedset userdset disk sizedset avg stddevdset num runs. Title = Select a dataset. Current sort col = avg stddev. Show footer = true. Existing runs on boostexter 500r no-awk.

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nlpdigger.blogspot.com

Text Intelligence and Knowledge Discovery: December 2009

http://nlpdigger.blogspot.com/2009_12_01_archive.html

Text Intelligence and Knowledge Discovery. Thursday, December 31, 2009. Solution for using UTF8 format bibtex from Zotero with Latex. When exporting the bibtex file from Zotero, the file is in utf-8 encoding. So there is a problem when I directly used it in latex. I dug for quite a while online but didn't find any ideal solution for this. The problem is when converting utf-8 to iso-8859-1, there will be some unidentified characters, leading to abnormal display in generated pdf file.

nlpdigger.blogspot.com

Text Intelligence and Knowledge Discovery: April 2009

http://nlpdigger.blogspot.com/2009_04_01_archive.html

Text Intelligence and Knowledge Discovery. Thursday, April 2, 2009. Boosting and Perceptron Learning for Ranking. Can be considered to be a greedy algorithm for finding the parameter w. That minimize the loss function. w. Initially is set to (w 0. The ranking function for both cases: F(x, w. X) is the feature vectors representing x. Subscribe to: Posts (Atom). View my complete profile. BioMed Experts- -Stephen Johnson. BioMed Experts- Soo Kyung. Blogger Star - Leizhimin. My smile will last longer.

nlpdigger.blogspot.com

Text Intelligence and Knowledge Discovery: June 2009

http://nlpdigger.blogspot.com/2009_06_01_archive.html

Text Intelligence and Knowledge Discovery. Monday, June 15, 2009. Procedure of calculating (k%) percentile:. Assume that we have an array M of n numbers. 1) Sort in increasing order, calculate (n-1)*k%, the integer part is i, and decimal part is j. 2) Result=(1-j)*M (i 1) j*M (i 2). If j=0, the results is M (i 1); if M (i 1)=M (i 2) either of them is the result. Quartile can be calculated this way,. Subscribe to: Posts (Atom). View my complete profile. BioMed Experts- -Stephen Johnson.

nlpdigger.blogspot.com

Text Intelligence and Knowledge Discovery: Solution for using UTF8 format bibtex from Zotero with Latex

http://nlpdigger.blogspot.com/2009/12/solution-for-using-utf8-format-bibtex.html

Text Intelligence and Knowledge Discovery. Thursday, December 31, 2009. Solution for using UTF8 format bibtex from Zotero with Latex. When exporting the bibtex file from Zotero, the file is in utf-8 encoding. So there is a problem when I directly used it in latex. I dug for quite a while online but didn't find any ideal solution for this. The problem is when converting utf-8 to iso-8859-1, there will be some unidentified characters, leading to abnormal display in generated pdf file.

fraka6.blogspot.com

Fraka6 Blog - No Free Lunch: July 2014

http://fraka6.blogspot.com/2014_07_01_archive.html

Fraka6 Blog - No Free Lunch. Some thoughts of a Machine Learning Practitioner on Software Development, Management, Team Building, Startups, Python, Agile Development, Data visualization. that will distract you from your end goals by making you less efficient but are critical to manage in order to succeed. Dont forget that long time adaptation to inefficient approaches can become your enemy. Lets try to empower others by sharing knowledge and personal experiences. Saturday, July 19, 2014. Aliases are chec...

fraka6.blogspot.com

Fraka6 Blog - No Free Lunch: May 2014

http://fraka6.blogspot.com/2014_05_01_archive.html

Fraka6 Blog - No Free Lunch. Some thoughts of a Machine Learning Practitioner on Software Development, Management, Team Building, Startups, Python, Agile Development, Data visualization. that will distract you from your end goals by making you less efficient but are critical to manage in order to succeed. Dont forget that long time adaptation to inefficient approaches can become your enemy. Lets try to empower others by sharing knowledge and personal experiences. Friday, May 2, 2014. Links to this post.

cs.stanford.edu

Percy Liang

http://cs.stanford.edu/~pliang

Assistant Professor of Computer Science. Natural Language Processing Group. 112;liang@cs.stanford.edu. I am co-organizing three NIPS 2016 workshops: Reliable Machine Learning in the Wild. Nonconvex Optimization for Machine Learning: Theory and Practice. And Deep Learning for Action and Interaction. Regarding (i), think of a sentence (e.g., "What fraction of CO2 emissions is from the top 5 countries? As encoding a computer program. XRDS magazine), a more general tutorial on natural language understanding.

fraka6.blogspot.com

Fraka6 Blog - No Free Lunch: October 2014

http://fraka6.blogspot.com/2014_10_01_archive.html

Fraka6 Blog - No Free Lunch. Some thoughts of a Machine Learning Practitioner on Software Development, Management, Team Building, Startups, Python, Agile Development, Data visualization. that will distract you from your end goals by making you less efficient but are critical to manage in order to succeed. Dont forget that long time adaptation to inefficient approaches can become your enemy. Lets try to empower others by sharing knowledge and personal experiences. Saturday, October 11, 2014. Matplotlib (r...

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MLcomp - Home

7205 users, 19687 datasets, 487 programs, 36084 runs (3488 queued, 0 running), 1 workers. On March 1, 2018, after 8 years of promoting openness and standardization in machine learning evaluation and executing people's arbitrary code, we are finally retiring MLcomp. However, all the public code and data will be migrated to CodaLab Worksheets. The spirit of MLcomp will still live on in CodaLab.]. MLcomp is a free website for objectively comparing. Do a comprehensive evaluation of your new algorithm. Column...

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