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    ITICSE
    2004
    ACM
    218views Theoretical Computer Science» more  ITICSE 2004»
    Self-efficacy and mental models in learning to program
    14 years 29 days ago
    Self-efficacy and mental models in learning to program
    Download  www.cis.drexel.edu
    Learning to program is a unique experience for each student, and it is not fully understood why one person in an introductory programming course learns to program better and more ...
    Vennila Ramalingam, Deborah LaBelle, Susan Wiedenb...
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    ICML
    2008
    IEEE
    135views Machine Learning» more  ICML 2008»
    Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
    14 years 8 months ago
    Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
    Download  mapleleaf.csail.mit.edu
    Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
    Finale Doshi, Joelle Pineau, Nicholas Roy
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    ICALT
    2003
    IEEE
    132views Machine Learning» more  ICALT 2003»
    Initializing Student Models in Web-Based ITSs: A Generic Approach
    14 years 25 days ago
    Initializing Student Models in Web-Based ITSs: A Generic Approach
    Download  thalis.cs.unipi.gr
    The issue of initializing the model of a new student is of great importance for educational applications that aim at offering individualized support to students. In this paper we ...
    Victoria Tsiriga, Maria Virvou
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    SLP
    1989
    105views more  SLP 1989»
    Automatic Ordering of Subgoals - A Machine Learning Approach
    13 years 8 months ago
    Automatic Ordering of Subgoals - A Machine Learning Approach
    Download  www.cs.technion.ac.il
    This paper describes a learning system, LASSY1, which explores domains represented by Prolog databases, and use its acquired knowledge to increase the efficiency of a Prolog inter...
    Shaul Markovitch, Paul D. Scott
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 5 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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