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    » Online Learning of Approximate Dependency Parsing Algorithms
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    ATAL
    2008
    Springer
    138views Intelligent Agents» more  ATAL 2008»
    Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
    13 years 9 months ago
    Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
    Download  ml.informatik.uni-freiburg.de
    Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
    Thomas Gabel, Martin A. Riedmiller
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    CVPR
    2010
    IEEE
    283views Computer Vision» more  CVPR 2010»
    Detecting and Parsing Architecture at City Scale from Range Data
    14 years 3 months ago
    Detecting and Parsing Architecture at City Scale from Range Data
    Download  www.cs.stevens.edu
    We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
    Alexander Toshev, Philippos Mordohai, Ben Taskar
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    EMNLP
    2007
    171views Natural Language Processing» more  EMNLP 2007»
    Multilingual Dependency Parsing and Domain Adaptation using DeSR
    13 years 9 months ago
    Multilingual Dependency Parsing and Domain Adaptation using DeSR
    Download  acl.ldc.upenn.edu
    We describe our experiments using the DeSR parser in the multilingual and domain adaptation tracks of the CoNLL 2007 shared task. DeSR implements an incremental deterministic Shif...
    Giuseppe Attardi, Felice dell'Orletta, Maria Simi,...
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    ACL
    2007
    142views Computational Linguistics» more  ACL 2007»
    Fast Unsupervised Incremental Parsing
    13 years 9 months ago
    Fast Unsupervised Incremental Parsing
    Download  www.aclweb.org
    This paper describes an incremental parser and an unsupervised learning algorithm for inducing this parser from plain text. The parser uses a representation for syntactic structur...
    Yoav Seginer
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    COLT
    2005
    Springer
    109views Machine Learning» more  COLT 2005»
    Data Dependent Concentration Bounds for Sequential Prediction Algorithms
    13 years 9 months ago
    Data Dependent Concentration Bounds for Sequential Prediction Algorithms
    Download  stat.rutgers.edu
    Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
    Tong Zhang
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