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    AAAI
    2008
    103views Intelligent Agents» more  AAAI 2008»
    Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks
    15 years 6 days ago
    Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks
    Download  web.engr.oregonstate.edu
    Proactive assessment of computer-network vulnerability to unknown future attacks is an important but unsolved computer security problem where AI techniques have significant impact...
    Scott Dejmal, Alan Fern, Thinh Nguyen
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    FLAIRS
    2008
    119views Artificial Intelligence» more  FLAIRS 2008»
    Learning to Assess Low-Level Conceptual Understanding
    15 years 6 days ago
    Learning to Assess Low-Level Conceptual Understanding
    Download  www.aaai.org
    This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...
    Rodney D. Nielsen, Wayne Ward, James H. Martin
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    IJCAI
    2007
    172views Artificial Intelligence» more  IJCAI 2007»
    Optimistic Active-Learning Using Mutual Information
    14 years 11 months ago
    Optimistic Active-Learning Using Mutual Information
    Download  www.ijcai.org
    An “active learning system” will sequentially decide which unlabeled instance to label, with the goal of efficiently gathering the information necessary to produce a good cla...
    Yuhong Guo, Russell Greiner
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    CORR
    2008
    Springer
    105views Education» more  CORR 2008»
    Robust Machine Learning Applied to Terascale Astronomical Datasets
    14 years 10 months ago
    Robust Machine Learning Applied to Terascale Astronomical Datasets
    Download  www.linuxclustersinstitute.org
    We present recent results from the LCDM3 collaboration between UIUC Astronomy and NCSA to deploy supercomputing cluster resources and machine learning algorithms for the mining of ...
    Nicholas M. Ball, Robert J. Brunner, Adam D. Myers
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    KES
    2007
    Springer
    121views Information Technology» more  KES 2007»
    An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
    14 years 9 months ago
    An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
    Download  www.neuronica.polito.it
    The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
    Giovanni Raimondo, Alfonso Montuori, Walter Moniac...
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