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    AAAI
    2012
    186views Intelligent Agents» more  AAAI 2012»
    Real-Time Collaborative Planning with the Crowd
    13 years 15 days ago
    Real-Time Collaborative Planning with the Crowd
    Download  hci.cs.rochester.edu
    Planning is vital to a wide range of domains, including robotics, military strategy, logistics, itinerary generation and more, that both humans and computers find difficult. Col...
    Walter S. Lasecki, Jeffrey P. Bigham, James F. All...
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    AAAI
    2012
    205views Intelligent Agents» more  AAAI 2012»
    Online Sequence Alignment for Real-Time Audio Transcription by Non-Experts
    13 years 15 days ago
    Online Sequence Alignment for Real-Time Audio Transcription by Non-Experts
    Download  hci.cs.rochester.edu
    Real-time transcription provides deaf and hard of hearing people visual access to spoken content, such as classroom instruction, and other live events. Currently, the only reliabl...
    Walter S. Lasecki, Christopher D. Miller, Donato B...
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    AAAI
    2012
    201views Intelligent Agents» more  AAAI 2012»
    On Maxsum Fair Cake Divisions
    13 years 15 days ago
    On Maxsum Fair Cake Divisions
    Download  people.seas.harvard.edu
    We consider the problem of selecting fair divisions of a heterogeneous divisible good among a set of agents. Recent work (Cohler et al., AAAI 2011) focused on designing algorithms...
    Steven J. Brams, Michal Feldman, John K. Lai, Jami...
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    AAAI
    2012
    231views Intelligent Agents» more  AAAI 2012»
    Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
    13 years 15 days ago
    Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
    Download  www-scf.usc.edu
    Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
    Tomer Levinboim, Fei Sha
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    AAAI
    2012
    205views Intelligent Agents» more  AAAI 2012»
    Kernel-Based Reinforcement Learning on Representative States
    13 years 15 days ago
    Kernel-Based Reinforcement Learning on Representative States
    Download  www.bkveton.com
    Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
    Branislav Kveton, Georgios Theocharous
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