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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 11 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    ACL
    1997
    72views Computational Linguistics» more  ACL 1997»
    A Theory of Parallelism and the Case of VP Ellipsis
    13 years 11 months ago
    A Theory of Parallelism and the Case of VP Ellipsis
    Download  idiom.ucsd.edu
    We provide a general account of parallelism in discourse, and apply it to the special case of resolving possible readings for instances of VP ellipsis. We show how several problem...
    Jerry R. Hobbs, Andrew Kehler
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    IJCAI
    1997
    170views Artificial Intelligence» more  IJCAI 1997»
    Is Nonparametric Learning Practical in Very High Dimensional Spaces?
    13 years 11 months ago
    Is Nonparametric Learning Practical in Very High Dimensional Spaces?
    Download  www.cs.colorado.edu
    Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
    Gregory Z. Grudic, Peter D. Lawrence
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    SCAI
    1993
    197views Artificial Intelligence» more  SCAI 1993»
    A Case-Based Answer to Some Problems of Knowledge-Based Systems
    13 years 11 months ago
    A Case-Based Answer to Some Problems of Knowledge-Based Systems
    Download  www.idi.ntnu.no
    Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
    Agnar Aamodt
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    ATAL
    2009
    Springer
    159views Intelligent Agents» more  ATAL 2009»
    Efficient physics-based planning: sampling search via non-deterministic tactics and skills
    13 years 11 months ago
    Efficient physics-based planning: sampling search via non-deterministic tactics and skills
    Download  www.cs.cmu.edu
    Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
    Stefan Zickler, Manuela M. Veloso
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