Public Archive Data
Showing Items 231-240 of 873 on page 24 of 88: First Previous 19 20 21 22 23 24 25 26 27 28 29 Next Last
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Sequence Data - Polya Signal - submitted by kidzik 34 views, 1486 downloads, 0 comments
last edited by kidzik - Sep 5, 2011, 18:21 CET Rating
- Summary:
This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
- License: unknown (from UCI repository)
- Tags: polya
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (1.7 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
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Diffuse Large B-Cell (Stanford) - submitted by kidzik 3634 views, 8291 downloads, 0 comments
last edited by kidzik - Sep 2, 2011, 17:06 CET Rating
- Summary:
Distinct types of diffuse large B-cell lymphoma (DLBCL) using gene expression data
- Data Shape: 4027 attributes, 47 instances (Integer,Floating Point,String)
- License: unknown (from UCI repository)
- Tags: b-cell diffuse dlbcl large lymphoma stanford
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (1.8 MB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Distinct types of diffuse large B-cell lymphoma (DLBCL) using gene expression data
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Colon-cancer Kent Ridge - submitted by kidzik 7313 views, 17236 downloads, 0 comments
last edited by kidzik - Sep 2, 2011, 16:58 CET Rating
- Summary:
Contains 62 samples collected from colon-cancer patients.
- Data Shape: 2001 attributes, 62 instances (Integer,Floating Point,String)
- License: unknown (from UCI repository)
- Tags: cancer colon-cancer Regression
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (1.1 MB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Contains 62 samples collected from colon-cancer patients.
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Breast Cancer (Kent Ridge) 2 - submitted by kidzik 4231 views, 11635 downloads, 0 comments
last edited by kidzik - Aug 30, 2011, 10:44 CET Rating
- Summary:
(No information yet)
- Data Shape: 24482 attributes, 97 instances (Integer,Floating Point,String)
- License: unknown (from LibSVMTools repository)
- Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
- Download: HDF5 (20.3 MB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
(No information yet)
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industry portfolio - submitted by rt324 220 views, 10367 downloads, 0 comments
last edited by rt324 - Jul 18, 2011, 06:51 CET Rating
- Summary:
Historical stock market data
- Data Shape: 31 attributes, 11455 instances ()
- License: PDDL
- Tags: econometrics finance time-series
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (2.7 MB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Historical stock market data
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fish_killer - submitted by rt324 189 views, 9474 downloads, 0 comments
last edited by rt324 - Jul 18, 2011, 05:37 CET Rating
- Summary:
Water Level from Dam
- Data Shape: 8 attributes, 45175 instances ()
- License: PDDL
- Tags: environmental time-series
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (1.6 MB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Water Level from Dam
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bee - submitted by cong 311 views, 1588 downloads, 0 comments
last edited by cong - Jun 20, 2011, 10:55 CET Rating
- Summary:
bee data from Ryan Turner
- License: PDDL
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (56.1 KB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
bee data from Ryan Turner
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caltech101-30 - submitted by cong 558 views, 4306 downloads, 0 comments
last edited by cong - May 1, 2011, 13:55 CET Rating
- Summary:
Kernel matrix for Caltech 101, with 30 examples per class for training
- License: CC0
- Tags: caltech Kernel Output
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: matlab (60.4 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Kernel matrix for Caltech 101, with 30 examples per class for training
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Protein Fold Prediction ucsd-mkl - submitted by hzahn 573 views, 2039 downloads, 0 comments
last edited by hzahn - Feb 28, 2011, 14:57 CET Rating
- Summary:
multy kernel learning dataset on protein fold prediction
- License: unknown (from UCI repository)
- Tags: multi-class multi-kernel protein-fold-prediction
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: unknown (793.6 KB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
multy kernel learning dataset on protein fold prediction
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Pendigits_UCSD_MKL - submitted by hzahn 597 views, 1551 downloads, 0 comments
last edited by hzahn - Feb 24, 2011, 06:59 CET Rating
- Summary:
data set on pen-based digits
- License: unknown (from UCI repository)
- Tags: conversion_failed handwritten_digits
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: octave (7.7 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
data set on pen-based digits
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.