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    FLAIRS
    2009
    149views Artificial Intelligence» more  FLAIRS 2009»
    Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks
    13 years 9 months ago
    Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks
    Download  staff.science.uva.nl
    This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
    Patrick de Oude, Gregor Pavlin
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    FLAIRS
    2009
    93views Artificial Intelligence» more  FLAIRS 2009»
    Special Track on Data Mining
    13 years 9 months ago
    Special Track on Data Mining
    Download  www.win.tue.nl
    William Eberle, David Bisant
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    FLAIRS
    2009
    137views Artificial Intelligence» more  FLAIRS 2009»
    A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference
    13 years 9 months ago
    A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference
    Download  www2.cs.uregina.ca
    We compare two approaches to Bayesian network inference, called variable elimination (VE) and arc reversal (AR). It is established that VE never requires more space than AR, and n...
    Cory J. Butz, Junying Chen, Ken Konkel, Pawan Ling...
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    FLAIRS
    2009
    111views Artificial Intelligence» more  FLAIRS 2009»
    Measuring Hint Level in Open Cloze Questions
    13 years 9 months ago
    Measuring Hint Level in Open Cloze Questions
    Download  reap.cs.cmu.edu
    Providing the first few letters of a missing word in a sentence gives information about this word. This paper attempts to measure the information transmitted in that case. In orde...
    Juan Pino, Maxine Eskenazi
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    FLAIRS
    2009
    171views Artificial Intelligence» more  FLAIRS 2009»
    Memory Based Goal Schema Recognition
    13 years 9 months ago
    Memory Based Goal Schema Recognition
    Download  www.cs.utexas.edu
    We propose a memory-based approach to the problem of goal-schema recognition. We use a generic episodic memory module to perform incremental goal schema recognition and to build t...
    Dan Tecuci, Bruce W. Porter
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    FLAIRS
    2009
    168views Artificial Intelligence» more  FLAIRS 2009»
    CombiTagger: A System for Developing Combined Taggers
    13 years 9 months ago
    CombiTagger: A System for Developing Combined Taggers
    Download  www.ru.is
    The main task of part-of-speech (PoS) tagging is to assign the appropriate morphosyntactic category to each word in a sentence. A combination of different PoS taggers usually resu...
    Verena Henrich, Timo Reuter, Hrafn Loftsson
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    FLAIRS
    2009
    177views Artificial Intelligence» more  FLAIRS 2009»
    Hierarchical Soft Clustering and Automatic Text Summarization for Accessing the Web on Mobile Devices for Visually Impaired Peop
    13 years 9 months ago
    Hierarchical Soft Clustering and Automatic Text Summarization for Accessing the Web on Mobile Devices for Visually Impaired Peop
    Download  www.di.ubi.pt
    In this paper, we propose a universal solution to web search and web browsing on handheld devices for visually impaired people. For this purpose, we propose (1) to automatically c...
    Gaël Dias, Sebastião Pais, Fernando Cu...
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    FLAIRS
    2009
    136views Artificial Intelligence» more  FLAIRS 2009»
    Unit Testing for Qualitative Spatial and Temporal Reasoning
    13 years 9 months ago
    Unit Testing for Qualitative Spatial and Temporal Reasoning
    Download  www.cs.auckland.ac.nz
    Researchers in commonsense, qualitative spatial and temporal reasoning (QSTR) provide flexible and intuitive methods for reasoning about vague and uncertain information including ...
    Carl P. L. Schultz, Robert Amor, Hans W. Guesgen
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    FLAIRS
    2009
    101views Artificial Intelligence» more  FLAIRS 2009»
    Training to a Neural Net's Inherent Bias
    13 years 9 months ago
    Training to a Neural Net's Inherent Bias
    Download  robust.cs.utep.edu
    A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
    Steven Gutstein, Olac Fuentes, Eric Freudenthal
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    FLAIRS
    2009
    161views Artificial Intelligence» more  FLAIRS 2009»
    Are Ontologies Involved in Natural Language Processing?
    13 years 9 months ago
    Are Ontologies Involved in Natural Language Processing?
    Download  lalic.paris-sorbonne.fr
    For certain disable persons unable to communicate, we present a palliative aid which consist of a virtual pictographic keyboard associated to a text processing from a pictographic...
    Maryvonne Abraham
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