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    AAAI
    2000
    74views Intelligent Agents» more  AAAI 2000»
    Speeding up the Convergence of Real-Time Search
    13 years 11 months ago
    Speeding up the Convergence of Real-Time Search
    Download  www.uwosh.edu
    David Furcy, Sven Koenig
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    AAAI
    2000
    109views Intelligent Agents» more  AAAI 2000»
    Information Extraction with HMM Structures Learned by Stochastic Optimization
    13 years 11 months ago
    Information Extraction with HMM Structures Learned by Stochastic Optimization
    Download  www.cs.utah.edu
    Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
    Dayne Freitag, Andrew McCallum
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    AAAI
    1998
    112views Intelligent Agents» more  AAAI 1998»
    Learning to Predict User Operations for Adaptive Scheduling
    13 years 11 months ago
    Learning to Predict User Operations for Adaptive Scheduling
    Download  www.aaai.org
    Mixed-initiativesystemspresent the challengeof finding an effective level of interaction betweenhumans and computers. Machinelearning presents a promising approachto this problemi...
    Melinda T. Gervasio, Wayne Iba, Pat Langley
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    AAAI
    1998
    164views Intelligent Agents» more  AAAI 1998»
    Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
    13 years 11 months ago
    Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
    Download  www.cs.ubc.ca
    One of the most important problems for an intelligent tutoring system is deciding how to respond when a student asks for help. Responding cooperatively requires an understanding o...
    Abigail S. Gertner, Cristina Conati, Kurt VanLehn
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    AAAI
    1998
    90views Intelligent Agents» more  AAAI 1998»
    Inferring State Constraints for Domain-Independent Planning
    13 years 11 months ago
    Inferring State Constraints for Domain-Independent Planning
    Download  www.aaai.org
    Wedescribe somenewpreprocessing techniques that enable faster domain-independentplanning. Thefirst set of techniquesis aimedat inferring state constraints from the structure of pl...
    Alfonso Gerevini, Lenhart K. Schubert
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    AAAI
    2000
    104views Intelligent Agents» more  AAAI 2000»
    Combining Knowledge and Search to Solve Single-Suit Bridge
    13 years 11 months ago
    Combining Knowledge and Search to Solve Single-Suit Bridge
    Download  www.aaai.org
    In problem solving, it is often important not only to find a solution but also to be able to explain it. We use the game of Bridge to illustrate how tactics, which formalise domai...
    Ian Frank, David A. Basin, Alan Bundy
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    AAAI
    2000
    79views Intelligent Agents» more  AAAI 2000»
    Open World Planning in the Situation Calculus
    13 years 11 months ago
    Open World Planning in the Situation Calculus
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    Alberto Finzi, Fiora Pirri, Raymond Reiter
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    AAAI
    1998
    127views Intelligent Agents» more  AAAI 1998»
    A Feature-Based Learning Method for Theorem Proving
    13 years 11 months ago
    A Feature-Based Learning Method for Theorem Proving
    Download  www.aaai.org
    Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have manyshortcomings. The...
    Matthias Fuchs
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    AAAI
    1998
    146views Intelligent Agents» more  AAAI 1998»
    Structured Representation of Complex Stochastic Systems
    13 years 11 months ago
    Structured Representation of Complex Stochastic Systems
    Download  ai.stanford.edu
    This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
    Nir Friedman, Daphne Koller, Avi Pfeffer
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    AAAI
    1998
    97views Intelligent Agents» more  AAAI 1998»
    Information Extraction from HTML: Application of a General Machine Learning Approach
    13 years 11 months ago
    Information Extraction from HTML: Application of a General Machine Learning Approach
    Download  www.daviszhou.net
    Dayne Freitag
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