Public Archive Data
Showing Items 731-740 of 873 on page 74 of 88: First Previous 69 70 71 72 73 74 75 76 77 78 79 Next Last
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Protein Fold Prediction ucsd-mkl - submitted by hzahn 573 views, 1962 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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MKL-toy - submitted by mkloft 570 views, 16861 downloads, 0 comments
last edited by mkloft - Sep 14, 2011, 15:43 CET Rating
- Summary:
Multiple kernel toy data set (six different scenarios)
- Data Shape: 40304 attributes, 20050 instances ()
- License: CC0
- Tags: Kernel Learning MKL Multiple
- Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
- Download: HDF5 (46.1 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:
Multiple kernel toy data set (six different scenarios)
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caltech101-30 - submitted by cong 558 views, 4210 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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caltech256-30 - submitted by cong 525 views, 2654 downloads, 0 comments
last edited by cong - Sep 14, 2011, 15:18 CET Rating
- Summary:
Kernel matrix for Caltech 256, with 30 examples per class for training
- License: CC0
- Tags: caltech Kernel Output
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: matlab (352.7 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 256, with 30 examples per class for training
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svmguide1 - submitted by mldata 444 views, 7992 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:41 CET Rating
- Summary:
(No information yet)
- Data Shape: 5 attributes, 7089 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (287.5 KB) 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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news20.binary - submitted by mldata 439 views, 10766 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:38 CET Rating
- Summary:
(No information yet)
- Data Shape: 1355192 attributes, 39992 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (104.4 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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Natural scenes data - submitted by demo 391 views, 5704 downloads, 0 comments
last edited by demo - Sep 14, 2011, 14:35 CET Rating
- Summary:
Image patches taken at random from natural scenes
- Data Shape: 1024 attributes, 1000 instances ()
- License: ODbL
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (7.9 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:
Image patches taken at random from natural scenes
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cod-rna - submitted by mldata 390 views, 12808 downloads, 0 comments
last edited by mldata - Nov 1, 2010, 11:36 CET Rating
- Summary:
(No information yet)
- Data Shape: 9 attributes, 488565 instances ()
- License: unknown (from LibSVMTools repository)
- Tags: libsvm LibSVMTools slurped
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (33.6 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:
(No information yet)
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Well Log - submitted by rt324 388 views, 9045 downloads, 0 comments
last edited by rt324 - Sep 14, 2011, 14:35 CET Rating
- Summary:
Consists of 4050 nuclear magnetic resonance measurement taken from drill while drilling a well.
- Data Shape: 1 attributes, 4050 instances ()
- License: PDDL
- Tags: change-point geostatistics time-series
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (42.2 KB) 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:
Consists of 4050 nuclear magnetic resonance measurement taken from drill while drilling a well.
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realm-nem2017-traces - submitted by rerngvit 382 views, 1587 downloads, 0 comments
last edited by rerngvit - Jul 12, 2017, 11:18 CET Rating
- Summary:
Linux kernel statistics from video-streaming and key-value cluster and service metrics from clients
- License: ODbL
- Tags: audio-buffer-rate cluster database key-value Linux-kernel network-analytics RTP-packet-rate service-level-metrics testbed time-series video-frame-rate video-on-demand VLC Voldemort
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: tar.gz (196.9 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Linux kernel statistics from video-streaming and key-value cluster and service metrics from clients
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/.