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    NIPS
    2007
    158views Information Technology» more  NIPS 2007»
    Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
    13 years 5 months ago
    Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
    Download  books.nips.cc
    Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
    Alessandro Lazaric, Marcello Restelli, Andrea Bona...
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    NIPS
    2007
    232views Information Technology» more  NIPS 2007»
    The Tradeoffs of Large Scale Learning
    13 years 5 months ago
    The Tradeoffs of Large Scale Learning
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    This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
    Léon Bottou, Olivier Bousquet
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    NIPS
    2007
    122views Information Technology» more  NIPS 2007»
    Structured Learning with Approximate Inference
    13 years 5 months ago
    Structured Learning with Approximate Inference
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    In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
    Alex Kulesza, Fernando Pereira
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    NIPS
    2007
    143views Information Technology» more  NIPS 2007»
    Stability Bounds for Non-i.i.d. Processes
    13 years 5 months ago
    Stability Bounds for Non-i.i.d. Processes
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    The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
    Mehryar Mohri, Afshin Rostamizadeh
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    NETWORKING
    2007
    110views Computer Networks» more  NETWORKING 2007»
    Reinforcement Learning-Based Load Shared Sequential Routing
    13 years 5 months ago
    Reinforcement Learning-Based Load Shared Sequential Routing
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    We consider event dependent routing algorithms for on-line explicit source routing in MPLS networks. The proposed methods are based on load shared sequential routing in which load ...
    Fariba Heidari, Shie Mannor, Lorne Mason
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    NIPS
    2008
    140views Information Technology» more  NIPS 2008»
    From Online to Batch Learning with Cutoff-Averaging
    13 years 5 months ago
    From Online to Batch Learning with Cutoff-Averaging
    Download  research.microsoft.com
    We present cutoff averaging, a technique for converting any conservative online learning algorithm into a batch learning algorithm. Most online-to-batch conversion techniques work...
    Ofer Dekel
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    IJCAI
    2007
    184views Artificial Intelligence» more  IJCAI 2007»
    Constructing New and Better Evaluation Measures for Machine Learning
    13 years 5 months ago
    Constructing New and Better Evaluation Measures for Machine Learning
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    Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
    Jin Huang, Charles X. Ling
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    ICONIP
    2007
    103views Information Technology» more  ICONIP 2007»
    Practical Recurrent Learning (PRL) in the Discrete Time Domain
    13 years 5 months ago
    Practical Recurrent Learning (PRL) in the Discrete Time Domain
    Download  shws.cc.oita-u.ac.jp
    One of the authors has proposed a simple learning algorithm for recurrent neural networks, which requires computational cost and memory capacity in practical order O(n2 )[1]. The a...
    Mohamad Faizal Bin Samsudin, Takeshi Hirose, Katsu...
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    ICMLA
    2008
    98views Machine Learning» more  ICMLA 2008»
    New Insights into Learning Algorithms and Datasets
    13 years 5 months ago
    New Insights into Learning Algorithms and Datasets
    Download  dml.cs.byu.edu
    We report on three distinct experiments that provide new valuable insights into learning algorithms and datasets. We first describe two effective meta-features that significantly ...
    Jun Won Lee, Christophe G. Giraud-Carrier
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    ICMLA
    2008
    147views Machine Learning» more  ICMLA 2008»
    Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
    13 years 5 months ago
    Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
    Download  www.cim.mcgill.ca
    We are interested in learning an adaptive local metric on a lower dimensional manifold for query
    Karim T. Abou-Moustafa, Frank P. Ferrie
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