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    ACL
    2010
    203views Computational Linguistics» more  ACL 2010»
    Active Learning-Based Elicitation for Semi-Supervised Word Alignment
    13 years 5 months ago
    Active Learning-Based Elicitation for Semi-Supervised Word Alignment
    Download  www.cs.cmu.edu
    Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial manual alignments. Motivated by standard active learning q...
    Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
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    NCA
    2007
    IEEE
    90views Computer Networks» more  NCA 2007»
    Implementing Atomic Data through Indirect Learning in Dynamic Networks
    14 years 1 months ago
    Implementing Atomic Data through Indirect Learning in Dynamic Networks
    Download  www.engr.uconn.edu
    Developing middleware services for dynamic distributed systems, e.g., ad-hoc networks, is a challenging task given that such services deal with dynamically changing membership and...
    Kishori M. Konwar, Peter M. Musial, Nicolas C. Nic...
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    KDD
    2007
    ACM
    360views Data Mining» more  KDD 2007»
    A framework for simultaneous co-clustering and learning from complex data
    14 years 8 months ago
    A framework for simultaneous co-clustering and learning from complex data
    Download  www.ideal.ece.utexas.edu
    Meghana Deodhar, Joydeep Ghosh
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    IQ
    2007
    152views Information Technology» more  IQ 2007»
    An Alert Management Approach To Data Quality: Lessons Learned From The Visa Data Authority Program
    13 years 9 months ago
    An Alert Management Approach To Data Quality: Lessons Learned From The Visa Data Authority Program
    Download  mitiq.mit.edu
    : We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...
    Joseph Bugajski, Robert L. Grossman
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    ICML
    2004
    IEEE
    110views Machine Learning» more  ICML 2004»
    Learning first-order rules from data with multiple parts: applications on mining chemical compound data
    14 years 8 months ago
    Learning first-order rules from data with multiple parts: applications on mining chemical compound data
    Download  www.ai.sanken.osaka-u.ac.jp
    Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
    Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
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