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    ICMLA
    2009
    228views Machine Learning» more  ICMLA 2009»
    The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting
    13 years 7 months ago
    The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting
    Download  www.timkietzmann.de
    This paper describes a novel real-world reinforcement learning application: The Neuro Slot Car Racer. In addition to presenting the system and first results based on Neural Fitted...
    Tim C. Kietzmann, Martin Riedmiller
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    EMNLP
    2008
    142views Natural Language Processing» more  EMNLP 2008»
    Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
    13 years 10 months ago
    Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
    Download  www.cs.jhu.edu
    A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
    Omar Zaidan, Jason Eisner
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    PRL
    2006
    119views more  PRL 2006»
    Exploring the use of latent topical information for statistical Chinese spoken document retrieval
    13 years 9 months ago
    Exploring the use of latent topical information for statistical Chinese spoken document retrieval
    Download  berlin.csie.ntnu.edu.tw
    Information retrieval which aims to provide people with easy access to all kinds of information is now becoming more and more emphasized. However, most approaches to information r...
    Berlin Chen
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    ICALT
    2006
    IEEE
    153views Machine Learning» more  ICALT 2006»
    Adaptive Learning Objects Sequencing for Competence-Based Learning
    14 years 3 months ago
    Adaptive Learning Objects Sequencing for Competence-Based Learning
    Download  dspace.ou.nl
    Lifelong learning refers to the activities people perform throughout their life to improve their competence in a particular field. Although adaptive educational hypermedia systems...
    Pythagoras Karampiperis, Demetrios G. Sampson
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    ICML
    2009
    IEEE
    160views Machine Learning» more  ICML 2009»
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    14 years 10 months ago
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    Download  www.research.rutgers.edu
    The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
    Carlos Diuk, Lihong Li, Bethany R. Leffler
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