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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    13 years 8 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
    Yitao Duan, John F. Canny
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    NIPS
    2007
    166views Information Technology» more  NIPS 2007»
    Mining Internet-Scale Software Repositories
    13 years 8 months ago
    Mining Internet-Scale Software Repositories
    Download  books.nips.cc
    Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
    Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
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    AAAI
    2006
    115views Intelligent Agents» more  AAAI 2006»
    Tensor Embedding Methods
    13 years 8 months ago
    Tensor Embedding Methods
    Download  www.cs.ust.hk
    Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
    Guang Dai, Dit-Yan Yeung
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    AIA
    2006
    124views Artificial Intelligence» more  AIA 2006»
    Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT
    13 years 8 months ago
    Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT
    Download  www.uni-weimar.de
    Model-based diagnosis of technical systems requires both a simulation machinery and a logic calculus. The former is responsible for the system's behavior analysis, the latter...
    Benno Stein, Oliver Niggemann, Theodor Lettmann
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    FLAIRS
    2004
    152views Artificial Intelligence» more  FLAIRS 2004»
    A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
    13 years 8 months ago
    A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
    Download  www.aaai.org
    Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
    Adriano L. I. Oliveira, Fernando Buarque de Lima N...
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