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    AAAI
    2015
    26views Intelligent Agents» more  AAAI 2015»
    Exploiting Task-Feature Co-Clusters in Multi-Task Learning
    10 years 1 months ago
    Exploiting Task-Feature Co-Clusters in Multi-Task Learning
    Download  labs.yahoo.com
    In multi-task learning, multiple related tasks are considered simultaneously, with the goal to improve the generalization performance by utilizing the intrinsic sharing of informa...
    Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen
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    AAAI
    2015
    17views Intelligent Agents» more  AAAI 2015»
    Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks
    10 years 1 months ago
    Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks
    Download  homes.soic.indiana.edu
    Applications of graphical models often require the use of approximate inference, such as sequential importance sampling (SIS), for estimation of the model distribution given parti...
    Jeremy C. Weiss, Sriraam Natarajan, C. David Page ...
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    AAAI
    2015
    24views Intelligent Agents» more  AAAI 2015»
    Dictionary Learning with Mutually Reinforcing Group-Graph Structures
    10 years 1 months ago
    Dictionary Learning with Mutually Reinforcing Group-Graph Structures
    Download  www.cs.unc.edu
    In this paper, we propose a novel dictionary learning method in the semi-supervised setting by dynamically coupling graph and group structures. To this end, samples are represente...
    Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, ...
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    AAAI
    2015
    13views Intelligent Agents» more  AAAI 2015»
    Learning to Manipulate Unknown Objects in Clutter by Reinforcement
    10 years 1 months ago
    Learning to Manipulate Unknown Objects in Clutter by Reinforcement
    Download  www.ri.cmu.edu
    We present a fully autonomous robotic system for grasping objects in dense clutter. The objects are unknown and have arbitrary shapes. Therefore, we cannot rely on prior models. I...
    Abdeslam Boularias, James Andrew Bagnell, Anthony ...
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    AAAI
    2015
    17views Intelligent Agents» more  AAAI 2015»
    Achieving Intelligence Using Prototypes, Composition, and Analogy
    10 years 1 months ago
    Achieving Intelligence Using Prototypes, Composition, and Analogy
    Download  www.ai.sri.com
    In this paper, I summarize the results of a decade-plus of research and development driven by the vision that human knowledge can be grounded in a small number of prototypical com...
    Vinay K. Chaudhri
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    AAAI
    2015
    24views Intelligent Agents» more  AAAI 2015»
    Building Strong Semi-Autonomous Systems
    10 years 1 months ago
    Building Strong Semi-Autonomous Systems
    Download  anytime.cs.umass.edu
    The vision of populating the world with autonomous systems that reduce human labor and improve safety is gradually becoming a reality. Autonomous systems have changed the way spac...
    Shlomo Zilberstein
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    AAAI
    2015
    9views Intelligent Agents» more  AAAI 2015»
    Recursive Best-First Search with Bounded Overhead
    10 years 1 months ago
    Recursive Best-First Search with Bounded Overhead
    Download  www.cs.unh.edu
    Matthew Hatem, Scott Kiesel, Wheeler Ruml
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    AAAI
    2015
    19views Intelligent Agents» more  AAAI 2015»
    Relational Stacked Denoising Autoencoder for Tag Recommendation
    10 years 1 months ago
    Relational Stacked Denoising Autoencoder for Tag Recommendation
    Download  www.wanghao.in
    Tag recommendation has become one of the most important ways of organizing and indexing online resources like articles, movies, and music. Since tagging information is usually ver...
    Hao Wang, Xingjian Shi, Dit-Yan Yeung
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    AAAI
    2015
    19views Intelligent Agents» more  AAAI 2015»
    Existential Rule Languages with Finite Chase: Complexity and Expressiveness
    10 years 1 months ago
    Existential Rule Languages with Finite Chase: Complexity and Expressiveness
    Download  zhang-heng.net
    Finite chase, or alternatively chase termination, is an important condition to ensure the decidability of existential rule languages. In the past few years, a number of rule langu...
    Heng Zhang, Yan Zhang, Jia-Huai You
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    AAAI
    2015
    24views Intelligent Agents» more  AAAI 2015»
    Contrastive Unsupervised Word Alignment with Non-Local Features
    10 years 1 months ago
    Contrastive Unsupervised Word Alignment with Non-Local Features
    Download  nlp.csai.tsinghua.edu.cn
    Word alignment is an important natural language processing task that indicates the correspondence between natural languages. Recently, unsupervised learning of log-linear models f...
    Yang Liu, Maosong Sun
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