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, 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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MKL-toy - submitted by mkloft 570 views, 17313 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, 4305 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, 2732 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, 8241 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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realm-nem2017-traces - submitted by rerngvit 442 views, 1720 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
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news20.binary - submitted by mldata 439 views, 11056 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, 5920 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, 13233 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, 9349 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.
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/.