Result for 5BEA46B375B38B50A5CBB01EC7E1D4ED8E6CAD8F

Query result

Key Value
FileName./usr/share/doc-base/tinysvm
FileSize569
MD59E9C003236AAE35CCBA32991AD344430
SHA-15BEA46B375B38B50A5CBB01EC7E1D4ED8E6CAD8F
SHA-2565B8D8C119E2F2E0E9BFF050A6B644BDE8DA091892F7E9C7CE6781480692B21F5
SSDEEP12:4WT0SBbcjLeBkVtQaEq4/dE4va0kpYKMflHqE:bTFBqLSEtQ7XafYKmHT
TLSHT1ACF02602E450C5F6F16BAD3662C15942CB100CF9DC2630D976BE477711539ED322F190
hashlookup:parent-total9
hashlookup:trust95

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Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize25106
MD5FFF2FF64791D0E1D6DDC288831CE3A44
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-17AECB645AB3DC74E2C84A6683205A4463E14D2D3
SHA-2560BE6915D52EF4A1D93ED25AAE7FFD670D0CD34F0186EA5CD66F459B54FB57A15
Key Value
FileSize24854
MD553F837944AFF716E7773406EC3AA8E51
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-1D6EC1ABAC3F6C0E450F9CF455C766DB238AE78DF
SHA-2563B52D003B96724DECCA76F046781CDED76EF5EFB5CD7907DDB028E5E57E772C1
Key Value
FileSize27940
MD5268710102DA484C90FEDC79863F2821A
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-1F83D90AC68AF2D69F985FB7E6564763C97ECB2D1
SHA-25657E418AD95BE87680A1EC81A96DF89F9B64B39817FF67308B18EEB3B09554BD1
Key Value
FileSize24886
MD510CA665CD47B175E97B93A7DF99B7213
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-18E7372C40351033EB34F595BB8ED4F8A20E2F4B8
SHA-256B5B6F03EBE90753FF1E26DD9FA6EAB644ACD7EEE755CFC2D3B0D9DFFFECC8931
Key Value
FileSize27618
MD5CD5303E5A9BA9584E6B0D84A881C127D
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-1724D322D3340CCAA25EACC9B614AC544850223E2
SHA-256655361AE60510CBBE27C58A639CF0551DFF670BCDEFE60842682DCE3D9FC9E7C
Key Value
FileSize27906
MD5BA5BA903FF9885F31004B4F25B3B2D14
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-12B287A2720B553A1E282B8420B077FC183AD320D
SHA-256ABD822F1EF9718D02153A91C9D229BA7EA23260B449FCAFE4099BB1E9DE2D533
Key Value
FileSize28360
MD58F842BEAFDAE492645C0312C76558E06
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-12AF830E332FFEAD3662854B636B116792FED17D7
SHA-256FE587A8B11EC58A1DA38BD9FCBB62B975922BC2D36159ECAF886C20D6ECCA3C4
Key Value
FileSize27980
MD597CB1BA1F4C7807F81D4FA5AB4C3A2E2
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-1922559E680CB271D12E4D1D86FF20E374FBA94F3
SHA-25603352685C4EC39DD3378E57CA779708866EDE76105847BF0D55790435D20F527
Key Value
FileSize27780
MD5C839194CF30C0270B52FA4FD737BA19D
PackageDescriptionSVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-13186133DD82B26562A538D982228ED0E28879C75
SHA-256474DEF0A9B87E816FD62ADE9332EDF03A4EBA1400A34EADA6B76D9ABC7E32009