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    KAIS
    2008
    99views more  KAIS 2008»
    Privacy-preserving SVM classification
    14 years 11 months ago
    Privacy-preserving SVM classification
    Download  cimic.rutgers.edu
    Classical data mining algorithms implicitly assume complete access to all data, either in centralized or federated form. However, privacy and security concerns often prevent sharin...
    Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang
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    ISMB
    1997
    99views Computational Biology» more  ISMB 1997»
    Standardized Representations of the Literature: Combining Diverse Sources of Ribosomal Data
    15 years 1 months ago
    Standardized Representations of the Literature: Combining Diverse Sources of Ribosomal Data
    Download  www.aaai.org
    We are building a knowledge base (KB) of published structural data on the 30s ribosomal subunit in prokaryotes. Our KB is distinguished by a standardized representation of biologi...
    Russ B. Altman, Neil F. Abernethy, Richard O. Chen
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    LICS
    2002
    IEEE
    104views Automated Reasoning» more  LICS 2002»
    A Syntactic Approach to Foundational Proof-Carrying Code
    15 years 4 months ago
    A Syntactic Approach to Foundational Proof-Carrying Code
    Download  www.utdallas.edu
    Proof-Carrying Code (PCC) is a general framework for verifying the safety properties of machine-language programs. PCC proofs are usually written in a logic extended with language...
    Nadeem Abdul Hamid, Zhong Shao, Valery Trifonov, S...
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    ACL
    2003
    119views Computational Linguistics» more  ACL 2003»
    Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
    15 years 1 months ago
    Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
    Download  www.cs.cmu.edu
    This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
    Monica Rogati, J. Scott McCarley, Yiming Yang
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    14 years 9 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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