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    AAAI
    2015
    13views Intelligent Agents» more  AAAI 2015»
    Nonparametric Scoring Rules
    8 years 8 months ago
    Nonparametric Scoring Rules
    Download  slahaie.net
    A scoring rule is a device for eliciting and assessing probabilistic forecasts from an agent. When dealing with continuous outcome spaces, and absent any prior insights into the s...
    Erik Peter Zawadzki, Sébastien Lahaie
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    AAAI
    2015
    25views Intelligent Agents» more  AAAI 2015»
    A Theoretical Analysis of Optimization by Gaussian Continuation
    8 years 8 months ago
    A Theoretical Analysis of Optimization by Gaussian Continuation
    Download  people.csail.mit.edu
    Optimization via continuation method is a widely used approach for solving nonconvex minimization problems. While this method generally does not provide a global minimum, empirica...
    Hossein Mobahi, John W. Fisher III
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    AAAI
    2015
    12views Intelligent Agents» more  AAAI 2015»
    Temporally Adaptive Restricted Boltzmann Machine for Background Modeling
    8 years 8 months ago
    Temporally Adaptive Restricted Boltzmann Machine for Background Modeling
    Download  www.ustc.edu.cn
    Linli Xu, Yitan Li, Yubo Wang, Enhong Chen
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    AAAI
    2015
    36views Intelligent Agents» more  AAAI 2015»
    Heuristic Induction of Rate-Based Process Models
    8 years 8 months ago
    Heuristic Induction of Rate-Based Process Models
    Download  www.isle.org
    This paper presents a novel approach to inductive process modeling, the task of constructing a quantitative account of dynamical behavior from time-series data and background know...
    Pat Langley, Adam Arvay
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    AAAI
    2015
    22views Intelligent Agents» more  AAAI 2015»
    On Elementary Loops and Proper Loops for Disjunctive Logic Programs
    8 years 8 months ago
    On Elementary Loops and Proper Loops for Disjunctive Logic Programs
    Download  staff.ustc.edu.cn
    This paper proposes an alternative definition of elementary loops and extends the notion of proper loops for disjunctive logic programs. Different from normal logic programs, the...
    Jianmin Ji, Hai Wan, Peng Xiao
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    AAAI
    2015
    20views Intelligent Agents» more  AAAI 2015»
    Exploiting Determinism to Scale Relational Inference
    8 years 8 months ago
    Exploiting Determinism to Scale Relational Inference
    Download  www.professeurs.polymtl.ca
    One key challenge in statistical relational learning (SRL) is scalable inference. Unfortunately, most realworld problems in SRL have expressive models that translate into large gr...
    Mohamed Hamza Ibrahim, Christopher J. Pal, Gilles ...
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    AAAI
    2015
    16views Intelligent Agents» more  AAAI 2015»
    Towards a Programmer's Apprentice (Again)
    8 years 8 months ago
    Towards a Programmer's Apprentice (Again)
    Download  cbmm.mit.edu
    Programmers are loathe to interrupt their workflow to document their design rationale, leading to frequent errors when software is modified—often much later and by different p...
    Howard Elliot Shrobe, Boris Katz, Randall Davis
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    AAAI
    2015
    30views Intelligent Agents» more  AAAI 2015»
    Multimedia Data for the Visually Impaired
    8 years 8 months ago
    Multimedia Data for the Visually Impaired
    Download  people.mpi-inf.mpg.de
    The Web contains a large amount of information in the form of videos that remains inaccessible to the visually impaired people. We identify a class of videos whose information con...
    Niket Tandon, Shekhar Sharma, Tanima Makkad
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    AAAI
    2015
    25views Intelligent Agents» more  AAAI 2015»
    Lower and Upper Bounds for SPARQL Queries over OWL Ontologies
    8 years 8 months ago
    Lower and Upper Bounds for SPARQL Queries over OWL Ontologies
    Download  www.uni-ulm.de
    The paper presents an approach for optimizing the evaluation of SPARQL queries over OWL ontologies using SPARQL’s OWL Direct Semantics entailment regime. The approach is based o...
    Birte Glimm, Yevgeny Kazakov, Ilianna Kollia, Gior...
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    AAAI
    2015
    28views Intelligent Agents» more  AAAI 2015»
    Energy Disaggregation via Learning Powerlets and Sparse Coding
    8 years 8 months ago
    Energy Disaggregation via Learning Powerlets and Sparse Coding
    Download  www.eecs.berkeley.edu
    In this paper, we consider the problem of energy disaggregation, i.e., decomposing a whole home electricity signal into its component appliances. We propose a new supervised algor...
    Ehsan Elhamifar, Shankar Sastry
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