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    PKDD
    2010
    Springer
    188views Data Mining» more  PKDD 2010»
    Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
    13 years 6 months ago
    Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
    Download  ronan.collobert.com
    ervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , ...
    Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobe...
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    PVLDB
    2010
    129views more  PVLDB 2010»
    iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques
    13 years 6 months ago
    iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques
    Download  www.comp.nus.edu.sg
    Graphs are of growing importance in modeling complex structures such as chemical compounds, proteins, images, and program dependence. Given a query graph Q, the subgraph isomorphi...
    Wook-Shin Han, Jinsoo Lee, Minh-Duc Pham, Jeffrey ...
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    PVLDB
    2010
    191views more  PVLDB 2010»
    SnipSuggest: Context-Aware Autocompletion for SQL
    13 years 6 months ago
    SnipSuggest: Context-Aware Autocompletion for SQL
    Download  www.vldb.org
    In this paper, we present SnipSuggest, a system that provides onthe-go, context-aware assistance in the SQL composition process. SnipSuggest aims to help the increasing population...
    Nodira Khoussainova, YongChul Kwon, Magdalena Bala...
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    RV
    2010
    Springer
    177views Hardware» more  RV 2010»
    Runtime Instrumentation for Precise Flow-Sensitive Type Analysis
    13 years 6 months ago
    Runtime Instrumentation for Precise Flow-Sensitive Type Analysis
    Download  lara.epfl.ch
    We describe a combination of runtime information and static analysis for checking properties of complex and configurable systems. The basic idea of our approach is to 1) let the p...
    Etienne Kneuss, Philippe Suter, Viktor Kuncak
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    SIGPRO
    2010
    122views more  SIGPRO 2010»
    Parameter estimation for exponential sums by approximate Prony method
    13 years 6 months ago
    Parameter estimation for exponential sums by approximate Prony method
    Download  www-user.tu-chemnitz.de
    The recovery of signal parameters from noisy sampled data is a fundamental problem in digital signal processing. In this paper, we consider the following spectral analysis problem...
    Daniel Potts, Manfred Tasche
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