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    HCI
    2007
    175views Human Computer Interaction» more  HCI 2007»
    Detailed Monitoring of User's Gaze and Interaction to Improve Future E-Learning
    13 years 10 months ago
    Detailed Monitoring of User's Gaze and Interaction to Improve Future E-Learning
    Download  www.medien.ifi.lmu.de
    In this paper, we investigate how to use future interaction technologies to enhance learning technologies. We examine in detail how tracking the mouse pointer and observing the use...
    Heiko Drewes, Richard Atterer, Albrecht Schmidt
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    SDM
    2008
    SIAM
    150views Data Mining» more  SDM 2008»
    A Stagewise Least Square Loss Function for Classification
    13 years 10 months ago
    A Stagewise Least Square Loss Function for Classification
    Download  nlpr-web.ia.ac.cn
    This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
    Shuang-Hong Yang, Bao-Gang Hu
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    ACE
    2003
    120views Education» more  ACE 2003»
    Online Assessment of SQL Query Formulation Skills
    13 years 10 months ago
    Online Assessment of SQL Query Formulation Skills
    Download  www.acs.org.au
    Being able to formulate useful SQL queries is a fundamental skill required by many software development professionals. Mastering this skill is a difficult process, requiring consi...
    Julia Coleman Prior
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    AAAI
    1996
    108views Intelligent Agents» more  AAAI 1996»
    Scaling up Logic-Based Truth Maintenance Systems via Fact Garbage Collection
    13 years 10 months ago
    Scaling up Logic-Based Truth Maintenance Systems via Fact Garbage Collection
    Download  www.qrg.northwestern.edu
    Truth maintenance systems provide caches of beliefs and inferences that support explanations and search. Traditionally, the cost of using a TMS is monotonic growth in the size of ...
    John O. Everett, Kenneth D. Forbus
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    ICML
    2010
    IEEE
    177views Machine Learning» more  ICML 2010»
    Local Minima Embedding
    13 years 9 months ago
    Local Minima Embedding
    Download  ca.cs.cmu.edu
    Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
    Minyoung Kim, Fernando De la Torre
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